A major challenge facing the scientific exploration of brain function is the accurate interpretation of structure–function relationships1. The synaptic active zone (AZ) is a specialization within the presynaptic terminal, which is functionally defined as the site of neurotransmitter release and can be morphologically identified by the proteinaceous AZ cytomatrix (CAZ)2. At AZs, complex molecular interactions deliver the speed, precision and plasticity unique to neurotransmission3. The CAZ is believed to provide a structural platform for these interactions. In electron microscopy (EM), the CAZ is revealed as an electron-dense structure, whose morphology varies between different types of neurons and between individual synapses formed by the same partner cells. Importantly, activity-dependent structural variations of the CAZ can occur at individual synapses in a dynamic manner and appear to correlate with functional properties of transmitter release4,5,6,7. The mechanistic coupling of molecular composition, CAZ structure and neurotransmission, however, remains largely elusive.

Despite a gradually emerging comprehensive protein catalogue, we still lack basic information describing how the nanoscopic organization of proteins gives rise to synaptic function. In essence, this is because of the diffraction-limited resolution of light microscopy that has hindered access to the spatial nanodomain in a physiologically relevant context. In recent years, super-resolution imaging methods have emerged that enable far-field fluorescence microscopy with spatial resolutions approaching virtually EM8,9,10,11,12,13. Here, super-resolution imaging by single-molecule photoactivation or photoswitching and position determination (localization microscopy) captures an outstanding position because it reconstructs the super-resolved image from single-molecule localization events. Thus, it can deliver information about molecular distributions, even giving absolute number of proteins present in subcellular compartments, provided that each molecule is labelled with an intact fluorophore, detected above a certain photon threshold, and that the number of localizations measured per individual fluorophore is accessible14. This provides insight into biological systems at a molecular level.

Neurotransmitter release is controlled by a multi-step process of vesicle delivery and molecular maturation at the AZ to generate fusion-competent synaptic vesicles. The availability of such readily releasable vesicles (RRVs) and their calcium-dependent probability of fusion fundamentally determine synaptic performance15. The precise spatial organization of AZ constituents shapes such basic elements of presynaptic function and contributes to use-dependent synaptic plasticity. Here, we set out to test whether a quantitative analysis of the CAZ ultrastructure could provide information on these functional properties.

To this end, we focused specifically on Bruchpilot (Brp), a major structural and functional component of the CAZ in Drosophila. Brp performs a dual function of clustering Ca2+ channels and concentrating synaptic vesicles at neuromuscular AZs16,17. By promoting excitation–secretion coupling, Brp supports efficient transmitter release, shapes synaptic plasticity5,18 and participates in certain forms of learning19. Using STED (stimulated emission depletion) microscopy, previous work has provided an ultrastructural description of the orientation of Brp in the CAZ16,20,21. Building upon this basic understanding, we sought to extract quantitative data on the number and precise spatial arrangement of Brp molecules within AZs.

The present study puts forward a novel approach to extract protein counts from macromolecular assemblies at single-molecule resolution. We demonstrate this procedure by estimating endogenous Brp protein copies in their native environment by direct stochastic optical reconstruction microscopy (dSTORM)11,22. Drosophila mutants were used to analyse different AZ states, and electrophysiology was applied to functionally calibrate super-resolution images. Our results demonstrate that functional information on neurotransmission is provided by the nanoscopic organization of Brp.


Localization microscopy of the CAZ nanostructure

To obtain detailed structural information on the CAZ in situ, we used dSTORM at the glutamatergic larval Drosophila neuromuscular junction (NMJ). The CAZ was recognized with a monoclonal antibody (mAb BrpNc82) directed against a C-terminal epitope of Brp20,23. To optimize structural resolution, we used a secondary F(ab′)2 fragment labelled on average with 1.3 Cy5 fluorophores. With an IgG size of 8–10 and ~4 nm for the F(ab′)2 fragment, we estimate ~13 nm for the spatial dimensions of the antibody–fluorophore complex24,25. Localization microscopy relies on temporally separating fluorescence emission from single fluorophores within a diffraction-limited area. The position of single-molecule fluorescence signals can then be precisely determined (localized) by fitting of a two-dimensional (2D) Gaussian function to the point-spread function. The localizations of all emitters are finally used to reconstruct a super-resolution image10,11,12,13. Owing to the high brightness of Cy5, a localization precision of 6–7 nm was achieved (s.d., in lateral direction) using either localizations of individual, isolated fluorophore-labelled antibodies in the sample or nearest neighbour analysis26 (Fig. 1a,b and Supplementary Fig. 1; see Methods section).

Figure 1: dSTORM resolves substructural information on the CAZ.
figure 1

(a) 2D localization pattern of a single, unspecifically bound Cy5 F(ab′)2 fragment. (b) Aligned distribution of 209,537 localizations from 21,436 unspecifically bound antibodies. A 2D Gaussian fit gives a localization precision (s.d.) of 7.16±0.02 nm. (c,d) dSTORM (right panels) uncovers a substructural organization of the CAZ, disguised in epifluorescence images (left panels) of wt NMJs stained against Brp. Thereby, assemblies of Brp into clusters, termed CAZ-units, could be identified. Panel d1 shows two separate AZs (arrows), viewed en face, each containing one CAZ-unit, and panel d2 shows a single AZ composed of three CAZ-units (arrowheads). Lower panels display magnification of boxed regions. Scale bars, 2 μm (c,d) and 500 nm (c1,c2,d1,d2).

At roughly 200 kDa, Brp is a large coiled-coil domain protein that adopts an elongated and polarized orientation perpendicular to the AZ membrane. Its membrane-proximal N terminus helps to cluster Ca2+ channels at the AZ, whereas the C-terminal region of Brp reaches into the cytoplasm to tether synaptic vesicles16,17,20. Thus, localizations defined by mAb BrpNc82 correspond to the distal region of macromolecular CAZ-filaments observed in electron micrographs of high-pressure frozen NMJs20,27. The increase in spatial resolution by dSTORM uncovered detailed information of the CAZ, concealed in diffraction-limited conventional fluorescence microscopy (Fig. 1c,d). In the present study, we define an individual AZ via its CAZ, which is an interconnected region of Brp immunoreactivity. Within one such Brp assembly, localization microscopy resolved a substructural arrangement of Brp into modules (Fig. 1d). Hereafter, this further level of organization is termed a CAZ-unit. An AZ could contain single, individual (Fig. 1d1, ) or multiple, closely grouped CAZ-units (Fig. 1d2). The same organizational principle was also observed with Alexa Fluor 700 (A700) and Alexa Fluor 532 (A532) fluorophores, although at lower spatial resolution than obtained with Cy5 (Supplementary Fig. 1). For the following analyses, we therefore used Cy5 and considered only single, clearly distinguishable CAZ-units (Fig. 1d1, ).

A wild-type (wt) CAZ-unit (en face view, that is, optical axis perpendicular to the membrane) contains on average 1,021±43 (s.e.m.) localizations and, considering its size (0.095±0.003 μm2 s.e.m., n=144 CAZ-units), is likely analogous to a CAZ structure as defined by STED (termed donut)16 and EM (termed T-bar)28. Several T-bars may reside at one synapse, and this is reflected by groups of narrowly spaced CAZ-units (for example, triple T-bar AZ in Fig. 1d2). As an AZ consists of 1,257±89 localizations (s.e.m.), it will contain on average 1.2 CAZ-units. This calculation is consistent with the number of T-bars detected per synapse in electron micrographs28,29.

Moving on to the next level of organization, we studied the substructure of CAZ-units. EM tomography at the Drosophila NMJ has reported macromolecular CAZ-filaments with a diameter of ~10 nm (ref. 27). How many Brp proteins contribute to one filament is, however, unknown. In order to describe the spatial arrangement of Brp molecules in quantitative terms, we analysed the distribution of localizations using a clustering algorithm that was modified from Bar-On et al.30 and took into account the filament diameter in electron micrographs (Fig. 2 and Supplementary Movie 1; see Methods section). The density-based analysis calculated that an average CAZ-unit contains 14.5±0.4 multiprotein clusters (s.e.m.) with an elliptic shape (29.8±0.2 nm s.e.m. long radius × 19.9±0.1 nm s.e.m. short radius) and an average size of 1,568±21 nm2 (s.e.m.). Considering the dimensions of the antibody complex (~13 nm) and our localization precision (6–7 nm; Fig. 1a,b), the average Brp cluster size indeed very closely matches the diameter of CAZ-filaments (see Discussion section).

Figure 2: Density-based analysis reveals that CAZ-units are built from multiple Brp clusters.
figure 2

(a) Spatial distribution of localizations in a specific CAZ-unit (shown as inset). (b) Density distribution of localizations in a 20-nm search radius (number of localizations within Eps-environment colour coded). Difference between elevation lines, 2 nm. (c) Centres of mass, that is, local density maxima as discovered by algorithm. (d) Final clusters as defined by algorithm. Each colour represents a different cluster. Parameters used for algorithm: 20 nm search radius (Eps) and 16 neighbours threshold (k).

Quantifying the substructural organization of Brp in the CAZ

To attain further quantitative information on the molecular AZ architecture, we developed an approach to count Brp molecules in their native environment. Owing to the single-molecule sensitivity of dSTORM, fluorophore localizations can be used not only to extract information about the distribution of individual molecules30, but crucially, also to approximate the absolute number of protein copies. Since the number of localizations measured for a fluorophore-labelled antibody is influenced by its nano-environment, reference experiments using different antibody concentrations had to be conducted at the CAZ to unequivocally correlate localization counts with the number of underlying Brp protein epitopes (Fig. 3; see Methods section).

Figure 3: Quantification of Brp molecules in the CAZ.
figure 3

(a) Schematic description of the experiments. A filamentous CAZ-unit is shown in grey and the polarized orientation of Brp is illustrated. The blue shaded area indicates the approximate region of the mAb BrpNc82 epitope, the red arrow marks the C-terminal (C-term) truncation in brpnude. (b) Cy5 and A488 labelled 2ndary F(ab′)2 fragments were diluted at a constant overall concentration of 5.2 × 10−8 M (for example, 1: 100% Cy5 to 0% A488 and 10−3: 0.1% Cy5 to 99.9% A488) and a fixed mAb BrpNc82 dilution (1/2,000; 0.5 × 10−3) to estimate the number of localizations corresponding to a single Cy5-labelled antibody attached to Brp via mAb BrpNc82. Individual Brp proteins are indicated by filled circles (grey). Binding of single Cy5 antibodies (magenta) to the CAZ was verified through comparison with the A488 epifluorescence signal (green; see Methods section). Images depict examples of several antibody dilutions (indicated by 1 and 2 in the graph). (c) Titration of mAb BrpNc82 at fixed Cy5- and A488 antibody concentration (5.2 × 10−8 M; 1% Cy5, 99% A488) provides information on epitope saturation by the primary antibody. Data in (b) (n=8–10 NMJs per dilution) and (c) (n=4–5 NMJs per dilution, error bars show s.e.m.) were fit to a logistic function (see Methods section). Arrowheads denote antibody concentrations used in experiments (Figs 1, 2, 4 and ). Scale bar, 200 nm. N-term, N terminus.

First, titrations were performed with secondary antibodies to unravel the number of localizations detected for a single Cy5-labelled secondary antibody (2ndary Ab-Cy5) bound to the primary antibody within the CAZ (Fig. 3b). In order to reliably identify the CAZ at low 2ndary Ab-Cy5 concentrations (high dilutions), mAb BrpNc82 was co-stained with Alexa Fluor 488 (2ndary Ab-A488). Next, the concentration of the primary antibody was titrated to estimate saturation of Brp epitopes (Fig. 3c). And finally, the number of secondary antibodies bound to each primary antibody was estimated. To obtain this information, a low concentration of mAb BrpNc82 was combined with a normal concentration of 2ndary Ab-Cy5. Comparing the number of Cy5 localizations per putative Brp epitope with those of a single 2ndary Ab-Cy5 (Fig. 3b) provided an approximation of 1.59 2ndary Ab-Cy5 per mAb BrpNc82. To visualize the CAZ in this experiment, co-staining was performed with an antibody directed against an N-terminal Brp epitope (rabbit-BrpN-term plus 2ndary Ab-A488 anti-rabbit)20.

Taking these considerations into account allows for quantitative image analysis and delivers an estimate of 137±29 (s.e.m.) Brp molecules per CAZ-unit (conversion factor of molecules per localization: 0.134±0.028 s.e.m.; see Methods section). Correspondingly, ~7 Brp molecules are recognized per multiprotein cluster (52.2±0.7 localizations s.e.m., n=2,102 clusters). According to this calculation, Brp proteins would assemble as polarized rod-like heptamers via coiled-coils to form a multiprotein filament. The plausibility of this stoichiometry can be appreciated by comparison with other filamentous protein structures, for example, seven subfibrils form intermediate filaments of ~10 nm diameter31.

Interestingly, the image analysis described that ~26% of Brp localizations in CAZ-units are not clearly grouped into clusters (Fig. 2d, black triangles). Taking the image background into account (only 78±7 localizations per μm2 s.e.m.), we estimate that <1% of localizations within CAZ-units (~104 localizations per μm2) are caused by unspecific labelling. This indicates that a substantial fraction of Brp molecules are not part of macromolecular filaments.

In localization microscopy, labelling density, in addition to localization precision, critically determines the ability to resolve spatial features of a given structure32. Thus, the high density of Brp molecules at the CAZ and the strong affinity of the antibodies form the basis for the high spatial resolution in dSTORM experiments. While epitope shielding may well introduce an error to our approximation of Brp protein and cluster numbers, the tight correlation with EM data lends strong support to our quantitative approach.

Ultrastructural analysis of different AZ states

Brp reorganizations are involved in synaptic plasticity operating on time scales ranging from milliseconds to days5,6,17,33. Such plastic rearrangements could, in principle, involve changes in Brp protein number per CAZ34 or the spatial orientation of Brp within the CAZ17. To test our quantitative imaging approach, we analysed different AZ states by using two previously investigated Drosophila mutants with altered Brp organization.

The small vesicle-associated GTPase Rab3 regulates the enrichment of Brp at AZs. At Rab3 mutant (rab3rup) larval NMJs, altered synaptic transmission is accompanied by fewer Brp-positive synapses, although these display greatly enlarged Brp aggregates34. The hypomorphic mutant, brpnude, lacks merely the last 17 C-terminal amino acids of Brp (that is, ~1% of the entire protein; Fig. 3a). While the overall CAZ structure is left intact, brpnude T-bars display a strikingly reduced vesicle tethering capacity that leads to slowed vesicle recruitment and short-term depression of neurotransmitter release17.

In line with previous work, we used confocal microscopy to confirm that rab3rup NMJs contain fewer Brp-positive AZs (~35% of controls; control: 472±43 s.e.m., n=14 NMJs; rab3rup: 164±15, n=14, rank sum test P<0.001; Fig. 4e and Table 1; ref. 34) and then applied dSTORM to study the nanoscopic organization of Brp at individual AZs. In rab3rup mutants, the CAZ was significantly enlarged (control: 0.120±0.006 μm2 s.e.m., n=16 NMJs; rab3rup: 0.212±0.01 μm2, n=11, rank sum test P<0.001; Fig. 4f and Table 1) and contained more Brp molecules (control: 1,257±89 localizations s.e.m., n=16 NMJs; rab3rup: 1,999±98, n=11, rank sum test P<0.001; Fig. 4f and Table 1). Electron micrographs have described a high concentration of T-bars at a subpopulation of rab3rup AZs, which likely correspond to those AZs that are Brp-positive34. In addition, dSTORM resolved a complex organization of the large rab3rup CAZ, often lacking a clearly distinguishable modular composition (Fig. 4, enlarged boxed regions, lower panel). CAZ-units could therefore not be unequivocally identified at rab3rup AZs.

Figure 4: Variable nano-organization of Brp in the CAZ.
figure 4

(a,b) Overview of brpnude and (c,d) rab3rup NMJs stained against Brp. Enlarged boxed regions (left panels epifluorescence and right panels dSTORM) demonstrate the ordered arrangement of brpnude CAZs, with Brp immunoreactivity largely confined to the CAZ-unit margins, and the disordered nanoscopic organization of greatly enlarged rab3rup CAZs. (eg) Quantification of imaging data acquired with confocal (e, rank sum test versus controls (n=14 NMJs); brpnude (n=13) P=0.254; rab3rup (n=14) P<0.001) and localization microscopy (f, rank sum test versus controls (n=16 NMJs): brpnude (n=13) P=0.005, rab3rup (n=11) P<0.001; g, rank sum test versus controls (n=16 NMJs): brpnude (n=13) P=0.28, rab3rup (n=11) P<0.001). (g) En face views of individual CAZ-units were aligned according to their centres of mass and the radial density distributions of Brp localizations were plotted (dark lines: average and shaded area: s.e.m.). Compared with controls (black), the Brp epitope was distributed more narrowly in brpnude (grey) CAZ-units. Scale bars, 2 μm (ad) and 500 nm (enlarged boxed regions).

Table 1 Structure of AZs.

In contrast, brpnude NMJs contained normal numbers of Brp-positive AZs (brpnude: 397±25, n=13, rank sum test P=0.254 versus control; Fig. 4e and Table 1; ref. 17) and displayed a modular arrangement of Brp into units within the CAZ (Fig. 4, enlarged boxed regions upper panel). Interestingly, dSTORM revealed a decrease in the area of the CAZ at brpnude AZs (0.097±0.005 μm2 s.e.m., n=13 NMJs, rank sum test P=0.005 versus control; Fig. 4f and Table 1). This structural property had heretofore not been recognized using high-resolution imaging via STED or EM17. Despite this decrease in size, the average brpnude CAZ contained normal numbers of Brp molecules (1,129±104 localizations s.e.m., n=13 NMJs, rank sum test P=0.28 versus control; Fig. 4f and Table 1). This prompted us to investigate the spatial organization of Brp in more detail. Because the arrangement of Brp within individual brpnude CAZ-units appeared very ordered, we analysed its radial distribution. We found that the Brp epitope is more confined to the perimeter at brpnude CAZ-units and more uniformly distributed in controls (Fig. 4g).

Functional properties of AZ states

Next, we performed electrophysiological recordings to obtain mechanistic descriptions of AZ function in both mutants. During low levels of activity, synaptic transmission is fairly normal at both rab3rup and brpnude NMJs (Supplementary Figs 2 and 3)17,34. While both paired-pulse stimulation (Fig. 5a) and high-frequency trains of activity (Fig. 5b) provoked similarly pronounced short-term depression of evoked excitatory postsynaptic currents (eEPSCs) in both mutants, closer inspection revealed subtle differences in short-term plasticity (STP). Whereas rab3rup NMJs showed normal biphasic recovery kinetics, brpnude synapses displayed a slow initial phase of recovery, characteristic of slow vesicle recruitment (Fig. 5b)17. These dissimilar properties of recovery indicate different origins of depression at brpnude and rab3rup synapses.

Figure 5: Electrophysiological characterization of different AZ states.
figure 5

(a) Representative traces (normalized amplitude of the first eEPSC) and average data of two-electrode voltage clamp recordings from larval NMJs show similar depression of brpnude (grey) and rab3rup (pink) eEPSCs during paired-pulse stimulation (rank sum test versus controls: brpnude for 10 ms P=0.014, for all other intervals P≤0.01; rab3rup for 10 ms P=0.016, for 30 and 100 ms P≤0.01) and (b) 60 Hz trains (eEPSC 91–100 mean; control: −34.3±1.5 nA s.e.m., n=10 NMJs; brpnude: −23.9±1.3 nA, n=10, rank sum test P<0.001 versus control; rab3rup: −27.3±1.4 nA, n=11, P=0.004 versus control). The fast phase of recovery after stimulation is selectively slowed in brpnude (centre panel), while all three genotypes show a normal slow recovery phase (right). Scale bars, (a) 30 nA, 30 ms. Data are presented as mean±s.e.m.

To describe synaptic depression in quantitative terms of the number of RRVs (N), their release probability (pvr) and the rate of vesicle reloading at release sites (k+1), an established modelling approach was used (Fig. 6; see Methods section)5,18. Two constrained STP models were used to reproduce individual high-frequency trains with ensuing biphasic recovery. For brpnude NMJs, both models ascribed short-term depression to (i) a decreased rate of replenishing (ii) a regular number of RRVs (iii) possessing a normal average release probability (Fig. 6b and Supplementary Table 1). This is related to (i) impaired vesicle tethering to the CAZ, and agrees with (ii) a normal electrophysiologically measured RRV pool size and (iii) regular calcium channel clusters at brpnude AZs17.

Figure 6: Mechanistic interpretation of AZ function.
figure 6

(a) Model 1 (blue; encompassing one pool of RRVs refilled from a finite supply pool) and model 2 (green; containing two pools of RRVs with different release probabilities) were used to describe the experimental data (example fits to average data in right panel). (b) The release parameters, obtained by fitting individual trains plus recovery experiments (control: n=10, brpnude: n=10 and rab3rup: n=11), distinguish between brpnude and rab3rup phenotypes. Statistics used Kruskal–Wallis with Dunn’s multiple comparison tests. Plots show mean±s.e.m.

Consistent with previous interpretations34,35, both models predicted few RRVs possessing a high pvr at rab3rup NMJs (Fig. 6b and Supplementary Table 1). Despite normal vesicle reloading rates, this setting is susceptible to short-term depression owing to the depletion of a large RRV fraction at stimulus onset.

In principle, short-term depression may be provoked by a range of pre- and postsynaptic factors36,37,38. However, the established information on these two specific mutants17,34,35 and a previous analysis of postsynaptic properties18 allowed us to focus on the recruitment of RRVs to the AZ and the availability of release sites as rate-limiting factors of synaptic transmission.

Dissecting structure–function relationships

Building upon the mutant analyses of different AZ states, we sought to link quantitative information on the CAZ ultrastructure with functional properties of neurotransmitter release. In view of the modelling results, the number of Brp-positive AZs per NMJ (~35% of controls in rab3rup; Fig. 4e) scales roughly with the number of RRVs (Fig. 6b). Such a calculation predicts on average ~3 RRVs per AZ in all three genotypes (wt ~2.5, brpnude ~3.2, rab3rup ~3.1; see Methods section). Hence, in terms of RRVs, the almost twofold larger rab3rup CAZ cannot compensate for reduced AZ numbers.

Since Brp contributes to clustering Ca2+ channels at the AZ16, the increased recruitment of Brp proteins to the rab3rup CAZ (Fig. 4f) will likely also increase the recruitment of Ca2+ channels and may tighten the spatial coupling to RRVs. This will elevate pvr, consistent with the modelling results (Fig. 6b) and the larger Ca2+ channel clusters reported at rab3rup AZs34.

To further test this structure–function interpretation, which was reached by studying mutant AZ states, we turned to an intrinsic physiological property of the Drosophila NMJ. Two glutamatergic motorneurons, containing either small (type Is) or big (type Ib) boutons, innervate larval muscles28. Previous studies have described a functional gradient along the type Ib motorneuron, with larger Ca2+ signals and correspondingly higher pvr at the terminal bouton despite a constant density of AZs35,39. A structural correlate of this gradient has, however, not been identified. Hence, we used dSTORM to study the ultrastructural organization of Brp at wt motorneurons. Our data resolve a clear gradient of both CAZ size and the number of Brp molecules per CAZ along the Ib neuron (Fig. 7). With the largest values at terminal boutons, this structural diversity closely matches the functional gradient35,39.

Figure 7: Neuronal gradient of the CAZ ultrastructure.
figure 7

(a,b) Epifluorescence dual-channel images.(a) Staining against horseradish peroxidase (anti-HRP, grey) displays type Is and type Ib motorneurons (indicated by arrowheads) at a wt NMJ. Ib boutons are numbered beginning at the distal end (in the lower left corner a neurite passes by the NMJ). (b) Corresponding Brp signal, which could be clearly allotted to a specific bouton. Enlarged boxed regions show examples of CAZs imaged with dSTORM. (c) Quantification of the CAZ ultrastructure uncovers gradients in CAZ size (Ib distal: 0.136±0.006 μm2 s.e.m., n=269 CAZs; Ib proximal: 0.099±0.008 μm2 s.e.m., n=105, rank sum test P<0.001) and Brp localizations per CAZ (Ib distal: 1,583±77 localizations s.e.m., n=269 CAZs; Ib proximal: 1,200±110 localizations s.e.m., n=105, rank sum test P=0.003) along type Ib motorneurons, which closely match the functional gradient35,39. Scale bars, 5 μm (a,b) and 200 nm (enlarged boxed regions). Data are presented as mean±s.e.m.


Here, we introduce a novel procedure to determine endogenous protein numbers in tissue by localization microscopy using standard labelling with primary antibodies and secondary F(ab′)2 fragments. Correlating the nanoscopic organization of a single large protein with electrophysiological recordings enabled us to link the filamentous CAZ ultrastructure to neurotransmitter release properties.

Our data are in line with the observation that pvr scales with AZ size40. Studies at Drosophila NMJ and hippocampal synapses have also reported that larger AZs provide for more RRVs5,40,41. Surprisingly, our analysis of the grossly enlarged rab3rup CAZ does not support this notion. A possible explanation could be provided by the disordered accumulation of Brp at the rab3rup CAZ (Fig. 4, enlarged boxed regions, lower panel) that suffices to increase pvr via calcium channel clustering but fails to provide additional vesicle release sites. However, keeping in mind that release persists and N appears unaltered in brp-null mutants, Brp itself is unlikely the primary determinant of a release site16,18. In any case, it will be of great interest to clarify why the wt CAZ is subdivided into Brp-positive CAZ-units, and to investigate whether this modular arrangement is matched by a complementary substructural organization of the opposing postsynaptic density.

Our results demonstrate that counting Brp proteins and quantifying their spatial distribution provides more detailed and precise information than merely measuring the CAZ area. This is exemplified by the small brpnude CAZ that contains a normal number of Brp localizations and gives rise to an unchanged pvr (Figs 4f and 6b and Table 1). Instead, Brp localizations are more confined to the perimeter of brpnude CAZ-units (Fig. 4g). Altered post-translational modification of Brp can promote vesicle tethering to the CAZ and provokes spreading out of AZ-filaments42. Conversely, the small brpnude CAZ correlates with deficient vesicle tethering and slow vesicle recruitment, leading to short-term depression (Figs 5 and 6)17. Hence, vesicle tethering may contribute to the shape of the CAZ by contorting proteinaceous filaments or, alternatively, the precise CAZ conformation affects its tethering ability. While this cannot be specified at present, either way the spatial organization of Brp provides information on vesicle reloading kinetics.

By engaging dSTORM, we discovered a heretofore unrecognized gradient of the CAZ ultrastructure along a glutamatergic neuron, concealed by the limited resolution of confocal microscopy35. Importantly, this finding provides a mechanistic basis for the functional diversification of AZs35,39. A functional gradient has not been described for type Is motorneurons. Moreover, AZs of Is neurons reportedly possess a higher pvr than their Ib counterparts, although this functional feature is not matched by a larger number of T-bars per AZ28,29,43. Similarly, we detected comparable numbers of Brp localizations at type Is and Ib CAZs (the Is CAZ is in fact slightly smaller) and found no ultrastructural gradient in the Is neuron (Supplementary Fig. 4). This consideration highlights that Brp is not the sole determinant of pvr and motivates the study of further AZ protein constituents. Intriguingly, for example, synaptic vesicle size differs between these two different glutamatergic neurons44.

The present investigation emphasizes how fundamentally different AZ states may be disguised by giving rise to similar facets of short-term depression (Fig. 5a). For descriptions of synaptic function, the degree of paired-pulse depression is routinely interpreted to reflect the magnitude of release probability. In light of these results and recent data from different synapses reporting fast vesicle reloading45, transient fusion46 and release site clearance47, analysing the CAZ nanostructure to test alternative interpretations of depression may well provide new insights into the molecular control of neurotransmission.

In order to estimate the number of Brp molecules in the CAZ, several hurdles had to be overcome. In general, localization microscopy in combination with photoactivatable fluorescent proteins10,12 appears to represent the method of choice for quantification purposes48 because fluorescent proteins offer the distinct advantage of specific stoichiometric labelling of target molecules. On the other hand, we were interested in endogenous protein levels. Therefore, overexpression of fusion proteins could not be deployed, and substitution of native proteins by transgenic variants that display wt expression and function remains challenging. In addition, misfolded fluorescent proteins and those that cannot be photoactivated or photobleached already after only a few excitation/emission cycles, and thus emit an insufficient number of photons, withdraw themselves from detection and localization14,49.

Besides localization microscopy, stepwise stochastic photobleaching of fluorophores upon illumination with light can be used to determine protein numbers50. Stepwise photobleaching is, however, limited to low protein numbers because the likelihood of missed events increases exponentially with the number of molecules51.

As an alternative approach, we evaluated the use of standard immunocytochemistry, that is, organic fluorophores and antibodies for quantification of endogenous protein levels. Here, challenges to be accepted include epitope accessibility, antibody affinity and multiple localizations owing to on/off switching on expanded time scales. Brp proteins appear to oligomerize as coiled-coils to form elongated, polarized filaments20. Therefore, it is conceivable that such a structural organization leads to a separation of epitopes along the filament circumference, promoting antibody accessibility despite a high density of Brp proteins (Supplementary Fig. 5). That said, differences in steric hindrance may exist at the level of individual AZs and in different genotypes. Furthermore, since epitopes can be shielded or lost during fixation, the determined number of Brp proteins might well represent a lower estimate.

Organic fluorophores exhibit certain advantageous characteristics, such as higher brightness and photostability than fluorescent proteins. Thus, in combination with the fact that each fluorophore can be localized multiple times, a higher percentage of accurately localized fluorophores can potentially be achieved. Nonetheless, the difficulty of extracting reliable information on how often a fluorophore-labelled antibody is localized remains, especially because the photoswitching performance of fluorophores is sensitively influenced by their local environment52. As a consequence, isolated fluorophores located outside of the investigated cellular compartment cannot be used as reference. Therefore, we developed an elaborate but secure two-colour method for identifying individual fluorophore-labelled antibodies in the structure of interest in order to determine the typical number of localizations. However, certain photophysical effects that depend, for example, on local fluorophore densities and photoswitching characteristics can never be completely ruled out in quantitative localization microscopy experiments. Nevertheless, by titrating primary and secondary antibodies, the described procedure delivers reliable estimates for the number of accessible protein epitopes per CAZ.

A major challenge facing the field of super-resolution microscopy is the development of analytical tools to quantify data sets and to help provide biological interpretations30. The implementation of clustering algorithms provided an objective description of the distribution pattern of Brp molecules within the CAZ and revealed the organization of Brp into supramolecular clusters. Considering their structural properties, these clusters likely correspond to the multiprotein CAZ-filaments observed in EM27 (STED microscopy displays ~9 ‘dots’ per AZ41). Why are the clusters elliptical? We speculate that an answer can be provided by the arrangement of fluorophores around CAZ-filaments in space. When CAZ-units are viewed en face (optical axis perpendicular to AZ membrane), filaments bent outwards could be viewed at a right angle to their long axis at the level of the mAb BrpNc82 epitope (Fig. 3a and Supplementary Fig. 5). In the images, the filament diameter (~10 nm) only contributes to the separation of encircling fluorophores in x and y. Hence, the largest separation will be seen for Cy5 molecules located at opposite sides of the filament and aligned with the CAZ-unit circumference (Supplementary Fig. 5).

Intriguingly, the quantitative analysis described a substantial population of un-clustered Brp proteins in the CAZ. It will be of great interest to investigate the biological significance of this observation and to test whether, for example, the fraction of ‘free’ Brp proteins changes during synaptic activity.

The complex nanoscopic organization and highly dynamic interactions of AZ proteins pose a formidable challenge to deciphering structure–function relationships of neurotransmission. A synergy of sophisticated biochemistry53,54 with super-resolution microscopy55 holds great promise for assembling a comprehensive molecular blueprint of the AZ.


Fly stocks

The following genotypes were used in this study: w1 or w1118 (controls), brpnude(5.38)/df(2R)BSC29 (brpnude)17 and rab3rup/df(2R)ED2076 (rab3rup)34. Data were obtained from male third instar Drosophila larvae raised at 25 °C.


In brief, two-electrode voltage clamp recordings (Axoclamp 900A amplifier, Molecular Devices) of eEPSCs (Vholding −60 mV, stimulation artefact removed for clarity in figures) and minis (Vholding −80 mV, 90 s recording) were made from muscle 6 (segments A2 and A3) at room temperature with intracellular electrodes (resistances of 10–20 MΩ, filled with 3 M KCl) essentially as previously reported18. The composition of the extracellular haemolymph-like solution (HL-3)56 was (in mM): NaCl 70, KCl 5, MgCl2 20, NaHCO3 10, trehalose 5, sucrose 115, HEPES 5 and CaCl2 1.5, pH adjusted to 7.2. Muscle cells with an initial membrane potential between −50 and −70 mV, and input resistances of ≥4 MΩ were accepted for analysis. Signals were sampled at 10 kHz, low-pass filtered at 1 kHz and analysed with Clampfit 10.2 (Molecular Devices). EPSCs were evoked by stimulating the innervating nerve (300 μs pulses typically at 10 V) via a suction electrode.

Ten eEPSCs were averaged per cell for each paired-pulse interval and for low-frequency stimulation. Paired-pulse recordings were made at 0.2 Hz with inter-stimulus intervals of (in ms): 10, 30, 100, 300 and 1,000. Ten seconds of rest were afforded to the cell in between recordings. The amplitude of the second response in 10 ms inter-pulse recordings was measured from the peak to the point of interception with the extrapolated first response. High-frequency stimulation followed an established protocol18,57 consisting of 100 pulses applied at 60 Hz. The recovery was monitored by stimulating at increasing intervals following the train (in ms): 25, 50, 100, 200, 500, 1,000, 2,000, 5,000, 10,000, 20,000, 50,000 and 100,000.


STP modelling of 60 Hz trains and of the recovery thereafter was performed as previously described5,18. Two constrained STP models were used. First, a model with one pool of release-ready vesicles refilled from a finite supply pool was used (model 1). Model 1 is characterized by the following parameters: γ, the Ca2+ dependence of facilitation; α, that defines the release probability; N, the number of RRVs; N0, the number of vesicles in the supply pool from which the readily releasable pool is refilled; and k+1, k-1, k+0 and k-0, the refilling rates of N and N0, respectively. In addition, we also used a model with two pools of release-ready vesicles and heterogeneous release probabilities (model 2). In model 2, a small pool of release-ready vesicles (N2) with a high release probability (pvr2) is refilled with a rate k2 from a larger pool (N1), which has a lower vesicular release probability (pvr1), and which, in turn, is refilled from a supply pool (N0). The refilling rates of these pools (k+1, k−1, k+0 and k−0) are defined as in model 1.

The release probabilities (pvr for model 1, and pvr1 and pvr2 for model 2) were defined according to a biophysical Ca2+-dependent model of facilitation with one single free parameter (α)18,58. Both models had two additional free parameters: N for model 1, N1 for model 2 and k+1 for both models, resulting in three free parameters for each model. The remaining parameters were constrained to values previously estimated at the Drosophila NMJ18 with the facilitation parameter (γ)58 adjusted to 0.4 μm−1 to reproduce the initial facilitation observed here with an extracellular Ca2+ concentration of 1.5 mM.

Individual experiments including depression during 60 Hz train stimulation and the recovery from depression were fitted with either models 1 or 2 as previously described18. The best-fit parameters for both models are shown for each individual experiment of the different genotypes as mean and s.e.m. in Fig. 6b.

Confocal imaging

Larvae were dissected in ice-cold HL-3, fixed for 10 min using 4% paraformaldehyde in 0.1 M phosphate-buffered saline (PBS) and blocked for 30 min in PBT (PBS with 0.05% Triton X-100, Sigma) containing 5% normal goat serum (Jackson ImmunoResearch). Preparations were incubated with primary antibodies at 4 °C overnight. After one short and three × 20 min washing steps, the filets were incubated with secondary antibodies for 2 h followed by another three washing steps. The samples were mounted in Vectashield (Vector Laboratories) for confocal imaging or kept in PBT for dSTORM measurements. Primary antibodies were used in the following dilutions: monoclonal antibody (mAb) BrpNc82 (1:250, provided by E. Buchner) and rabbit-GluRIID (1:1,000, provided by S.J. Sigrist). Alexa Fluor 488-conjugated mouse (Invitrogen) and Cy3-conjugated rabbit (Dianova) antibodies were used at 1:250. Images were acquired with a Zeiss LSM5 Pascal confocal system (objective: 63 × , numerical aperture 1.25, oil). For each set of experiments, all genotypes were stained in the same vial and imaged in one session. To estimate synapse numbers laser power was adjusted individually for each NMJ.

Brp punctae and GluRIID clusters (NMJ 6/7, segments A2, A3) were examined using ImageJ software (National Institutes of Health) in principle as previously described6. After background subtraction, a Gaussian blur (0.9 px s.d.) was applied to maximum z-projections of confocal stacks and masks were generated (threshold mean grey value of 25 for Brp and 30 for GluRIID). After superimposing the binary mask on the original blurred image, spot detection and segmentation via the ‘Find Maxima’ operation was performed to extract particle numbers.

To estimate the number of release sites (N) per AZ, the modelling prediction of N (average value of both models) was divided by the number of AZs on muscle 6 identified in confocal images, that is, half of NMJ 6/7 (ref. 28).

Super-resolution imaging

The mAb BrpNc82 was used at a dilution of 1/2,000 to identify AZs. Goat anti mouse F(ab′)2 fragments (A10534, Invitrogen) were labelled with Cy5-NHS (PA15101, GE Healthcare) according to standard coupling protocols given by the supplier. Purification of the conjugates was performed by use of gel filtration columns (Sephadex G-25, GE Healthcare). The degree of labelling was determined by absorption spectroscopy (Jasco) as 1.3 for studies of the CAZ ultrastructure and 1.3–1.5 for dilution experiments. Samples were stored in 0.2% sodium azide in PBS and for the experiments, Cy5-labelled secondary antibody was used at a concentration of 5.2 × 10−8 M.

For dSTORM imaging with Cy5, the sample was embedded in photoswitching buffer, that is, 100 mM mercaptoethylamine, pH 8.0, enzymatic oxygen scavenger system (5% (wt/vol) glucose, 5 U ml−1 glucose oxidase and 100 U ml−1 catalase59) and mounted on an inverted microscope (Olympus IX-71) equipped with an oil-immersion objective (60 × , numerical aperture 1.45, Olympus) and a nosepiece stage (IX2-NPS, Olympus)22. For excitation of Cy5, a 641-nm diode laser (Cube 640–100C, Coherent) was used. Telescope lenses and mirror were arranged on a translation stage to allow for switching between wide-field, low-angle/highly inclined thin illumination and total internal reflection fluorescence imaging22,60,61.

Fluorescence light from Cy5 was filtered by a dichroic mirror (650, Semrock) and a band- and long-pass filter (BrightLine 697/75, RazorEdge 647, Semrock), and imaged on an electron-multiplying CCD camera (EMCCD; Ixon DU897, Andor Technology). Additional lenses were used to generate a final camera pixel size of 107 nm. Fifteen thousand frames were recorded with a frame rate of 100 Hz at an irradiation intensity of ~5 kW cm−2. For imaging A488, a 488-nm laser (Sapphire 488 LP, Coherent) and a polychromatic dichroic mirror (410/504/582/669, Semrock) were used. Fluorescence light from A488 was reflected by a dichroic mirror (630 DCXR, Chroma) and imaged on a second EMCCD camera equipped with a band-pass filter (HQ535/50, Chroma).

Goat anti mouse IgG labelled with A532 (A11002, Invitrogen) and A700 (A21036, Invitrogen) was used at a concentration of 6.25 × 10−9 M. The degree of labelling was determined as 2.0 (A700) and 4.5 (A532). Imaging of A532 and A700 by dSTORM was performed in PBS containing 100 mM mercaptoethylamine, pH 8.3. Using appropriate filter sets (dichroic mirrors: 650 or 545/650; band-pass filters: RazorEdge 647 or BrightLine 582/75, Semrock), the samples were irradiated at 641 nm (A700) or 532 nm (NANO 250-532-100, Linos; A532) at ~5 kW cm−2. For titrations of A532-labelled secondary antibodies (Supplementary Fig. 6), fluorescence light from A700 and A532 was separated by a dichroic mirror (630 DCXR, Chroma) and imaged on two EMCCD cameras.

Super-resolution images were reconstructed using the software package rapidSTORM62,63. Only fluorescence spots containing >1,000 photons were analysed. Double-spot emission was analysed by a two-kernel analysis as described64 applying a maximum two-kernel improvement of 0.1. Raw localization data obtained from rapidSTORM was examined and further processed with ImageJ. A subpixel binning of 10 nm px−1 was applied. Representative images in Fig. 7 and magnified views in Figs 1 and 4 are shown with 7 nm binning for clarity.

To measure CAZ (defined by BrpNc82) area and localization numbers, masks were created by applying a Gaussian blur (1 px s.d.) followed by a minimal threshold (0.15 counts). After a minimum overlay of the original data with the masks, CAZs were then identified via their area (300 px to infinity). For the comparison of genotypes, a total of 812 CAZs in controls, 776 in brpnude and 257 in rab3rup were analysed and data (presented as mean±s.e.m.) were acquired in two imaging sessions, each containing all three genotypes stained in the same vial. Images with a background of >2.3 single spots per μm2 were excluded from the comparative analysis. Unspecific background labels exhibited equal localization counts in all genotypes (average counts control: 12.0±0.2 localizations s.e.m., n=16 NMJs; brpnude: 12.0±0.1, n=13; rab3rup: 12.4±0.3, n=11), indicating comparable imaging settings.

For the investigation of different motorneurons, a total of 963 (type Ib) and 579 (type Is) CAZs (from NMJ 6/7, segments A2 and A3) were analysed to determine the gradient. Double-stainings included horseradish peroxidase directly conjugated to A488 (1:250, Jackson ImmunoResearch) for visualization of boutons. In the representative images, the epifluorescence signals were background subtracted and normalized.

To specify the localization precision of dSTORM images, localizations of unspecific background label (n=21,436) from all three genotypes were analysed using ImageJ. Masks were created as described above (Gaussian blur with 1 px s.d., threshold 0.08 counts). Within a dSTORM image, only selections with a size between 16 and 100 px (10 nm px−1) and an ellipticity ≥0.95 were anaylzed. The coordinates of localizations within a single selection were aligned to their centre of mass and a 2D histogram of all localizations (209,537 in total) was generated (binning: 4 nm × 4 nm). A 2D Gaussian function was fitted to this histogram (adjusted R2=0.995). The s.d. of the Gaussian function (σx,y=(σx+σy)/2)) was determined as 7.16±0.02 nm and is stated as localization precision in this work (Fig. 1a,b). This value is comparable to the localization precision obtained with an alternative method based on nearest neighbour analysis26 (Supplementary Fig. 1).

For the investigation of CAZ-units, those structures were chosen that were not grouped together and were viewed en face, that is, with the AZ membrane perpendicular to the optical axis20. For the manual selection of CAZ-units, the genotypes were blinded.

To calculate the radial distribution (Fig. 4g), Mathematica 9.0 (Wolfram Research) was used to automatically calculate the centre of each chosen CAZ-unit as the centre of mass (that is, the average localization of all pixels of the CAZ-unit weighted with the pixel value). Subsequently, the distance of each pixel to the centre of mass was calculated. These distances were then binned, the pixel values were added to the corresponding bins and the values were normalized by the area of each radial slice. The resulting distributions were averaged across all chosen CAZ-units, resulting in mean and s.e.m. values for the radial distributions of each genotype.

Quantification of Brp protein numbers

To estimate the number of Brp molecules per CAZ-unit, a number of parameters had to be considered. First, the mAb BrpNc82 specifically recognizes one epitope per Brp molecule. Second, it is unclear how many Cy5-labelled F(ab′)2 fragments can bind to the primary mAb BrpNc82 and how many localizations can be expected per Cy5-labelled secondary antibody. Here, it has to be considered that the number of localizations detected per antibody can be strongly influenced by its nano-environment. Hence, the number of localizations expected for an individual labelled antibody should ideally be derived from measurements performed under identical imaging and buffer conditions in the same cellular environment, that is, within the CAZ. In order to derive quantitative values of Brp molecules from the localization data, we performed antibody titrations with (i) different dilutions of Cy5-labelled secondary antibody and a constant concentration of mAb BrpNc82, and (ii) different dilutions of mAb BrpNc82 and a constant concentration of Cy5-labelled secondary antibody.

To evaluate the localizations presented by a Cy5-labelled F(ab′)2 fragment attached to Brp via mAb BrpNc82, the concentration of mAb BrpNc82 was kept constant (1/2,000, that is, experimental concentration) and the secondary antibody was diluted (1, 1/2, 1/10, 1/100, 1/1,000, 1/10,000 and 1/100,000). Preparations were simultaneously stained with A488 goat anti mouse F(ab′)2 fragments (A11017, Invitrogen) to warrant an overall constant secondary antibody concentration of 5.2 × 10−8 M for epitope saturation (for example, 1: 100% Cy5 to 0% A488 and 1/1,000: 0.1% Cy5 to 99.9% A488) and to enable the unequivocal identification of the CAZ at low Cy5 antibody concentrations (Fig. 3b). The epifluorescence signal (A488) was background subtracted, blurred and contrast enhanced to identify Cy5 localizations within in the CAZ. NMJs (8–10) were evaluated for each dilution and the localizations per CAZ were histogrammed and fit to a Poisson model in order to extract the average number of localizations per CAZ (LCAZ) as the mean of the distribution. LCAZ as a function of the Cy5 antibody dilution (d) was then approximated with the logistic function LCAZ=L2+(L1L2)(1+(d/d0)p)−1, where the lowest localization value (L2) is equivalent to the number of localizations corresponding to a single F(ab′)2 fragment attached to Brp via mAb BrpNc82 (L1 is the maximum localization value, p is the Hill coefficient, which was fixed to 1; Fig. 3b). Such titrations are not limited to Cy5 but can, in principle, also be performed with other fluorophore-labelled antibodies (Supplementary Fig. 6).

The saturation of mAb BrpNc82 was analysed by using a constant concentration of secondary antibodies (5.2 × 10−8 M) with a fixed ratio of Cy5 and A488 F(ab′)2 fragments (1% Cy5: 99% A488) and by diluting the mAb BrpNc82 (1/20, 1/50, 1/100, 1/200, 1/500, 1/1,000, 1/2,000, 1/5,000 and 1/10,000). The localization data was analysed (4–5 NMJs per dilution) as described for Cy5 secondary antibody dilutions (Fig. 3c; L1=198.9 and LCAZ(1/2,000)=70.6).

In order to estimate how many Cy5-labelled secondary antibodies bind per primary mAb BrpNc82 under experimental conditions (5.2 × 10−8 M Cy5, 100%), NMJs (n=5) were stained with a very low concentration of mAb BrpNc82 (1/20,000) together with an antibody directed against an N-terminal Brp epitope (rabbit-BrpN-term 20, provided by S.J. Sigrist, 1/2,000; labelled by Alexa Fluor 488 goat anti rabbit (A11008, Invitrogen), 1/250). Only solitary spots within CAZs defined via BrpN-term were measured (threshold ≥10 px), histogrammed and fit to a Poisson model to extract the number of localizations corresponding to one mAb BrpNc82 (LE (Nc82)).

Using the localization values (Table 2) to solve the equation

Table 2 Localization values from antibody titrations.

gives an estimate of 137±29 Brp molecules s.e.m. at an average CAZ-unit (we refrained from cancelling L2(Cy5) to improve the traceability of the equation). Correspondingly, the conversion factor 0.134±0.028 s.e.m. was used to translate localizations into molecules for all genotypes (Table 1).

Cluster analysis

For the analysis, we used a home-written density-based algorithm. The base of the algorithm comes from the known algorithm, density-based spatial clustering of applications with noise: this algorithm simply looks for localizations that reside within the middle of a circle of radius Eps and enclose at least k other localizations30,65. Since our data contains a large number of localizations, in between putative clusters, we added more constraints on cluster detection. The algorithm starts with finding local maxima of density. The density is defined as the number of localizations within an Eps radius circle around a localization (Eps-environment). Each local maximum that has a density that is more than k will be defined as a cluster centre. For each cluster centre, the localizations contained within its Eps-environment are examined for holding the condition of k localizations. When the condition is held, the current localization along with all the other localizations within the Eps-environment will become members of this cluster. The algorithm then moves on to another localization that was found within the circle of radius Eps from the cluster centre and examines if it holds the conditions. If not, this localization will be a boundary point for the cluster and the expansion will end. If it does, this localization will be considered a core-object of the same cluster, and the cluster will keep expanding until it reaches a boundary point. In addition to the above conditions, each localization added to the cluster should have a lower density than the localization that discovered it. If the algorithm detects an increase in density, this localization will not be part of the previous cluster. This separates adjacent clusters and prevents creating saddle points between them.

We chose a search Eps of 20 nm that roughly corresponds to the estimated radius of an EM filament with the antibody complex attached to it. For a chosen Eps, the density is calculated as the number of localizations within the Eps-environment of the current localization. The parameter k was chosen based on the density distribution that had a peak ~12–18, and k was large enough to separate from noise but not too large as to find a sparse number of clusters (k=16).

After defining the clusters and the non-clustered localizations, we set to examine a set of different parameters that characterize the clusters. We analysed the following cluster properties: (a) the number of localizations belonging to each cluster, and (b) cluster shape and area. We found that most clusters did not show an exact circular shape but were more elliptic. Therefore, a 2D ellipse was tightly fitted to each cluster. From this ellipse, the parameters: shape (minor radius divided by major radius), minor and major axes are calculated. Clusters were defined as comprising a CAZ-unit if the density was at least four clusters within a circle of radius 200 nm.


Statistical tests were used as indicated. In the figures, the level of significance is denoted by asterisks: *P≤0.05, **P≤0.01, ***P≤0.001.

Additional information

How to cite this article: Ehmann, N. et al. Quantitative super-resolution imaging of Bruchpilot distinguishes active zone states. Nat. Commun. 5:4650 doi: 10.1038/ncomms5650 (2014).