Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Light scattering as an intrinsic indicator for pancreatic islet cell mass and secretion


The pancreatic islet of Langerhans is composed of endocrine cells producing and releasing hormones from secretory granules in response to various stimuli for maintenance of blood glucose homeostasis. In order to adapt to a variation in functional demands, these islets are capable of modulating their hormone secretion by increasing the number of endocrine cells as well as the functional response of individual cells. A failure in adaptive mechanisms will lead to inadequate blood glucose regulation and thereby to the development of diabetes. It is therefore necessary to develop tools for the assessment of both pancreatic islet mass and function, with the aim of understanding cellular regulatory mechanisms and factors guiding islet plasticity. Although most of the existing techniques rely on the use of artificial indicators, we present an imaging methodology based on intrinsic optical properties originating from mature insulin secretory granules within endocrine cells that reveals both pancreatic islet mass and function. We demonstrate the advantage of using this imaging strategy by monitoring in vivo scattering signal from pancreatic islets engrafted into the anterior chamber of the mouse eye and how this versatile and noninvasive methodology permits the characterization of islet morphology and plasticity as well as hormone secretory status.


The islets of Langerhans in the pancreas are secreting hormones in response to diverse stimuli in order to maintain proper blood glucose homeostasis. In particular the beta cells produce insulin, which is stored as dense crystals in cytoplasmic secretory granules1. Insulin is released into the blood stream as a consequence of increased glucose levels and thereby ensuring maintenance of blood glucose homeostasis. In response to varying functional demands, islets are required to modulate their secretory activity and/or alter the number of endocrine cells they are composed of. An inadequate islet mass and function will lead to the inability to control blood glucose concentration and eventually to diabetes. It has therefore been of major interest to develop methods for the assessment of pancreatic islet cell mass and function for the understanding of regulatory mechanisms at the cellular and organism level.

So far a number of techniques have been developed and applied for the determination of either pancreatic islet mass or islet function. For instance islet mass has been studied by bioluminescence imaging2, fluorescence imaging3,4, magnetic resonance imaging5, positron-emission tomography6, optical projection tomography7, or optical coherence microscopy8. Various probes have been developed for islet function, assessing e.g. glucose uptake and metabolism9,10,11, cytoplasmic free Ca2+concentration12, or insulin secretion13. Many of these methodologies require the use of heterologously-expressed biomarkers or the administration of extrinsic labels, potentially affecting normal cellular functions. Here we report on an intrinsic indicator for both islet mass and function, based on scattering properties of pancreatic islets. We show that three-dimensional information of islet morphology can be acquired without the use of artificial indicators, both in vitro and in vivo. Additionally, we demonstrate that scattering properties of pancreatic islets depend on the abundance of hormone-containing mature secretory granules, enabling longitudinal observations of the secretory status of individual islets.


Pancreatic islets can be visualized using their intrinsic light scattering properties

Pancreatic islets originating from different species have been qualitatively assessed for their light scattering properties (Fig. 1A). The islet morphology can be visualized at various scattering angles, for instance using an incident white light at an angular position of 90° relative to the observation microscope, or using an incident laser beam at an angular position of 180° for imaging backscattered signal by confocal microscopy. Backscatter signal provides identical three-dimensional morphological information at various laser illumination wavelengths, with a unique detection signal peaking at the incident light wavelength (Fig. 1B).

Figure 1

Pancreatic islets can be visualized using their intrinsic backscattering properties.

(A) Intrinsic scattering properties of pancreatic islets from various species allow their visualization in vitro by imaging side scattering of light by optical microscopy and backwards scattering of a laser beam scanning by confocal microscopy. This latter imaging technique not only offers high-resolution imaging but also provides three-dimensional information by the imaging of optical slices. (B) Different laser illumination wavelengths can be used to acquire backscatter images, the maximum signal intensity being collected at the incident light wavelength. (C) Confocal imaging of MIP-GFP islets at higher magnification reveals a punctuated pattern of backscatter signal, excluded from cell nuclei. The backscatter signal is present non-exclusively in each GFP-positive cell. Confocal images are presented as maximum intensity projections (A, B) or single optical planes (C). Size bars = 100 μm (A, B), 10 μm (C).

To assess whether backscatter signal originates from beta cells we imaged pancreatic islets isolated from MIP-GFP transgenic mice at high resolution by confocal microscopy. We observed that the backscatter signal forms a punctuate pattern, excluded from cell nuclei. Since beta cells within these particular islets are expressing the green fluorescent protein EGFP4, we could determine that all beta cells possess intrinsic backscatter properties – albeit non-exclusively (Fig. 1C).

Backscatter signal permits the quantification of individual islet volumes without cellular staining

In order to image individual islets non-invasively in vivo, we have isolated pancreatic islets from donor mice and proceeded with syngeneic transplantations into the anterior chamber of the eye of recipient mice using a technique previously established14,15. The islet grafts can then be imaged through the transparent cornea in the living animal under anesthesia (Fig. 2A). Three-dimensional information of individual islets was acquired by backscatter imaging and their respective volumes were determined by computational image analysis (Fig. 2B). In order to validate our image analysis protocol based on the backscatter signal collected from islet grafts in vivo, we next pursued an ex vivo analysis of islet mass by optical projection tomography (OPT16). The transplanted eye was collected, processed and stained using an anti-insulin antibody before imaging. Visualization of the insulin-positive signal from the eye allowed for the identification of the same islet grafts previously imaged in vivo (Fig. 2C). The individual islet volumes obtained by in vivo imaging compared to OPT scanning indicate a linear correlation (Fig. 2D). Because of technical differences between both imaging methodologies, such as changes in tissue volume after ex vivo processing and image analysis protocols, the volumes obtained are not identical. However the ratios between individual islet volumes proved to be identical regardless of the imaging technique in use, validating backscatter imaging as a tool to non-invasively monitor differences in islet cell mass (Fig. 2E).

Figure 2

Backscatter signal can be used as an intrinsic indicator for islet volume.

(A) Photography of a transplanted eye shows a number of individual islets of various dimensions. (B) The islets were analyzed individually by computational analysis after in vivo imaging (islets represented as maximum intensity projection on XZ; white is backscatter signal; red line is equatorial area). (C) Mice were then sacrificed and their eyes collected, processed using an anti-insulin antibody for staining and scanned by optical projection tomography (OPT) to determine individual islet volumes. (D) Comparison of individual islet volumes as quantified from images obtained in vivo by confocal microscopy and from images obtained ex vivo by OPT. (E) The ratios between individual islet volumes from islet grafts in three different mice are plotted and shown to be independent of the imaging technique in use. Size bar = 50 μm.

Backscatter imaging allows monitoring and characterizing islet growth in vivo

We visualized pancreatic islets engrafted into the anterior chamber of the mouse eye in vivo by backscatter imaging, providing both three-dimensional volumetric information from islet image modeling and two-dimensional information from the projected area (Fig. 3A,B). Interpolation of volumetric and planar data to diameters of a sphere provides similar values, demonstrating the highly spherical nature of islet grafts (Fig. 3C).

Figure 3

Quantification and characterization of islet growth in vivo by backscatter imaging.

(A) A schematic representation of dimensional information obtained by in vivo islet backscatter imaging is overlaid on an islet graft section stained by immunohistochemistry (green = insulin; blue = DAPI; black = pigmented iris). In vivo imaging permits longitudinal analysis of the islet equatorial volume and projected area. (B) Equatorial volume and projected area from individual islets imaged in vivo and (C) calculated diameter based on a spherical model. (D) In vivo imaging of the same islets engrafted into the anterior chamber of the eye at two different time points allows the longitudinal assessment of islet growth in the ob/ob mouse. (E) Growth of 27 islets was assessed over a period from 1 to 3 months in 7 ob/ob mice. The average X-, Y-, or Z-growth based either on the equatorial volume or on the projected area shows no preference for directional growth in the ob/ob mouse model. Size bars = 50 μm.

Next we investigated the possibility to not only assess three-dimensional volumetric differences between distinct islet grafts, but also to evaluate differences in the morphology of the same islet graft at different time points. Leptin-deficient obese mice were transplanted into the anterior chamber of the eye and their islet grafts imaged longitudinally over a period of one to three months. The particularly high beta cell proliferation in these mice17 results in a distinct growth of engrafted islets (Fig. 3D).

To assess whether this growth occurs homogenously in all spatial directions we quantified both the equatorial volumes and projected areas of individual islets at different imaging dates and interpolated these values to the radii of model spheres. The ratio between one-dimensional growth obtained from the equatorial volume and that obtained from the projected area is equal to 0.97 ± 0.06, indicating that growth of islet grafts does not occur preferentially in one direction but is homogenous in all directions in the ob/ob mouse model (Fig. 3E).

Backscatter signal in pancreatic islets originates primarily from zinc-containing granules and indicates hormone secretory status

Beta cells contain thousands of secretory granules enclosing dense-core crystals, which represent about 10–20% of the cellular volume18,19,20,21. These granules being in a size range of 200–400 nm, which is similar to the wavelength of light used in our setup for backscatter imaging, we hypothesized that the highly reflective nature of pancreatic islets is due to Mie scattering from these dense core granules. We thus investigated the effect of a reduction in insulin crystallization within the granules by depriving pancreatic islet cells from Zn2+, an essential ion for the formation of insulin crystals22. We treated isolated islets with N,N,N′,N′-tetrakis(2-pyridylmethyl)ethylenediamine (TPEN), a Zn2+chelator, removing intracellular Zn2+and impeding with the novel formation of insulin crystals within secretory granules. Eight hours post-treatment, insulin molecules within granules fail to crystallize, as seen by electron microscopy (Fig. 4A,D). Dithizone staining was also impaired in the treated samples (Fig. 4B,E). The fact that dithizone staining is specific to zinc-insulin crystals23 further confirms a reduction in the density of secretory granules density, correlating with the decreased backscattering intensity of TPEN-treated islets (Fig. 4C,F,G). The analysis of average backscatter signal intensity originating from individual beta cells within the islet (as identified using MIP-GFP islets as for Fig. 1C) also showed a strong decrease following treatment with TPEN, demonstrating the contribution of insulin-containing secretory granules to the overall islet reflective property (not shown).

Figure 4

Backscatter intensity in beta cells originates from dense core secretory granules and provides information on islet secretory status.

(A) Electron microscopy imaging shows that untreated isolated pancreatic islets display typical dense core secretory granules containing zinc-insulin crystals. (D) The chelation of Zn2+ by treatment with TPEN impedes with normal crystallization, resulting in pale granules. (B, E) Dithizone staining in treated versus non-treated islets demonstrates a clear loss of Zn crystals after TPEN treatment. (C, F, G) The reduction in the number of dense core granules results in a decreased backscatter signal intensity. (H) Islets were isolated from mice having either free access to food or been food-deprived for 12 h and their backscatter signal was acquired by confocal microscopy. (I) Both backscatter signal intensity and insulin content were increased when mice were fasted overnight. (J) In vivo imaging of an islet engrafted into the anterior chamber of the ob/ob mouse eye on two consecutive days shows differences in backscatter signal intensities depending on whether the mouse had free access to food or had been food-deprived for 12 h prior to imaging. Note that the backscatter signal originating from the strongly reflective pigmented iris is similar in both images, illustrating in this case that under identical imaging conditions the variations observed in signal intensities are islet-specific. (K) Quantification of backscatter signal intensities in vivo shows an increase under fasting conditions, correlating with lower blood glucose levels resulting in decreased insulin secretion from islets (n = 19 islets in 3 mice). Values are average ± SEM. *P < 0.05; **P < 0.01; ****P < 0.0001. Size bars = 100 μm.

Since a fraction of the mature insulin containing granules are involved in the secretory process subsequent to the increased blood glucose concentration following food consumption24, we compared the average backscatter signal intensity of islets partially degranulated to that of islets under low secretory demands. We isolated pancreatic islets from mice that were either fed or fasted overnight and measured in vitro that both backscatter signal intensity and insulin content were increased when mice were food-deprived before isolation, due to a lower insulin secretion (Fig. 4H,I). Similarly, when imaging in vivo individual pancreatic islets engrafted into the anterior chamber of the mouse eye on two consecutive days, we measured differences in backscatter signal intensities depending on whether mice had free access to food or were food-deprived prior to imaging (Fig. 4J,K). The backscatter signal thus not only serves as an intrinsic indicator of pancreatic islet cell mass and morphology but also can report on the islet secretory status, both in vitro and in vivo.


The scattering of light is involved in a decreased penetration of light through samples25, normally a detrimental factor both for optical imaging and electromagnetic radiation therapy. It has however also been used in the past as a valuable tool for imaging or detecting samples16,26,27 and here for imaging pancreatic islets by laser scanning confocal microscopy. The presented methodology relies on the particular reflective properties of islet cells originating from various species and offers imaging versatility in terms of optical detection wavelength. We have developed an image analysis protocol allowing not only to quantify individual islet volumes but also to monitor dynamic changes in islet cell mass and morphology. This protocol was cross-validated with an established imaging technology, indicating that quantification of islet volume obtained by confocal backscatter imaging correlates with that of beta cell mass by optical projection tomography. Combining backscatter imaging with in vivo imaging of tissue transplanted into the anterior chamber of the eye, we could use this methodology to noninvasively characterize changes in beta cell mass and islet morphology in an animal model of type 2 diabetes.

Mie scattering of a ray of light can occur on particles of similar dimension to that of the incident ray of light’s wavelength28. While all cells display some level of Mie scattering mainly due to mitochondria29, we show here that the physical origin of backscattering in beta cells originates primarily from mature insulin secretory granules. The biogenesis of these granules starts with the synthesis of pro-insulin, the formation of pale immature progranules, assembly of pro-insulin-zinc hexamers that will finally be processed into zinc-insulin hexamer crystals tightly packed into mature granules1,30. As much as about 10-20% of the volume of beta cells is constituted by granules (compared to 4% by mitochondria), explaining the strong reflective properties of these particular endocrine cells. By chemically reducing intracellular Zn2+concentrations we could interfere with the formation of mature granules and instead observed pale immature granules of low scattering properties. Interestingly it has been shown previously that a decrease in intragranular Zn2+concentration by removal of the zinc transporter ZnT8 similarly leads to the presence of pale progranules instead of dense core mature granules in beta cells and that these islets are characterized by a more transparent appearance23,31. This supports our finding that a reduced abundance of zinc-insulin crystals correlates with a reduction in backscatter signal intensity and thus that the particular scattering properties of beta cells is directly dependent on the presence of mature insulin granules.

It implies that optical properties of pancreatic islets can be used to assess their level of degranulation in response to stimuli, which we could demonstrate by the assessment of different levels of insulin secretion in vivo in the same animal. We witnessed a degranulation in response to food intake regardless of whether the islets originated from the pancreas or if they were engrafted into the anterior chamber of the eye, illustrating that we can assess day-to-day differences in the scattering properties of islets due to their varying hormone secretory status and depending for instance on feeding behavior.

Interestingly, while we can observe insulin secretory status at the islet level, backscatter images obtained at single cell level display an evident heterogeneity in terms of insulin expression and secretion among endocrine beta cells within the islet. It has indeed been shown that beta cells can be categorized into subpopulations having different thresholds in response to stimuli, leading to diverse levels of degranulation32,33,34. Backscatter imaging is thus a versatile and noninvasive technique that can serve as a tool to investigate the endocrine part of the pancreas from the islet population to the single cell level, both for the understanding of molecular mechanisms regulating their functional plasticity and for the development of novel therapeutic strategies for the modulation of beta cell mass and secretion.

Materials and Methods


All chemicals are from Sigma-Aldrich, unless otherwise specified.

Animal models, human tissue and blood glucose measurements

C57BL/6J and SJL mice were from Charles River (Germany). MIP-GFP mice4, backcrossed with C57BL/6J mice and ob/ob mice are inbred at the animal core facilities at the Karolinska Institutet. Wistar rats (10 weeks-old) were obtained from Charles River (Germany). Human pancreatic islets were obtained within the Nordic Network for Islet Transplantation from deceased donors. Blood glucose concentrations in mice were obtained using Accu-Chek Aviva monitoring system (Roche). All experiments were performed following Karolinska Institutet’s guidelines for care and use of animals in research and were approved by the animal ethics committee at Karolinska Institutet.

Pancreatic islet isolation and transplantation

Pancreatic islets were prepared and purified from donor animals following standard procedures35, maintained in RPMI 1640 medium supplemented with 10% fetal bovine serum (Life Technologies) and kept at 37 °C in a humidified atmosphere with 5% CO2 for a maximum of 2 days before use. Animals were transplanted into the anterior chamber of the eye at 4–8 weeks of age with islets isolated from age-matched donors, as described previously14. During transplantation isoflurane was used for anesthesia and mice received subcutaneous injections of Temgesic (Schering-Plough) for post-operative analgesia.

Laser Scanning Confocal Microscopy

Laser scanning confocal micrographs were recorded using a upright TCS-SP2-AOBS (Leica) equipped with 10x, 20x and 40x water-immersion objectives. Fluorescence emission from GFP was obtained by excitation at 488 nm and detection between 500 and 550 nm. For consistency reasons, backscatter signal imaging was obtained using a 633 nm laser beam for all figures unless otherwise specified, with detection at the same wavelength as the incident laser light. In vivo imaging of islet grafts in mice anesthetized with isoflurane was performed as previously described14, 2–5 months after transplantation. Scanning speed and laser intensities were adjusted to avoid any cellular damage to islets in vitro and to the mouse eye or islet graft in vivo. All confocal images are representatives and presented as maximum intensity projections in the XY plane unless otherwise stated.

Transmission electron microscopy (TEM)

Pancreas was dissected and small pieces were fixed in 2,5% glutaraldehyde +1% paraformaldehyde in 0.1 M phosphate buffer, pH 7.4 at room temperature for 30 min and stored in fixative at 4 °C. Specimens were rinsed in 0.1 M phosphate buffer, pH 7.4 and postfixed in 2% osmium tetroxide 0.1 M phosphate buffer, pH 7.4 at 4 °C for two hours, dehydrated in ethanol followed by acetone and embedded in LX-112 (Ladd, Burlington, Vermont, USA). Semi-thin sections were cut and stained with toluidine blue O and used for light microscopic analysis. Ultrathin sections (approximately 50–60 nm) were cut by a Leica EM UC 6 (Leica, Wien, Austria) and contrasted with uranyl acetate followed by lead citrate and examined in a Tecnai 12 Spirit Bio TWIN transmission electron microscope (FEI company, Eindhoven, The Netherlands) at 100 kV. Digital images were taken by using a Veleta camera (Olympus Soft Imaging Solutions, GmbH, Münster, Germany).


Paraffin sections of mouse tissue were prepared and processed as previously described14. Imaging of slides was performed using a BD Pathway 855 system (BD Biosciences).

Insulin measurements

Insulin concentrations were obtained using mouse insulin ELISA plates (Mercodia) and normalized to islet DNA content measured using Quant-iT PicoGreen dsDNA assays (Life Technologies).

Optical Projection Tomography (OPT)

SJL mice were used for OPT scanning and cross-validation of imaging techniques. One month after syngeneic transplantation of pancreatic islets into the anterior chamber of the eye, islet grafts were imaged in vivo by confocal microscopy under anesthesia before euthanasia. The eyes were then collected and fixed for 2 hours with 4% paraformaldehyde on ice. Immunolabeling, using anti-insulin primary antibody (DAKO) and Alexa Fluor 594 labeled secondary antibody (Life Technologies) and tissue processing for OPT scanning, using the Bioptonics 3001 OPT scanner (Bioptonics), was performed as described previously16. OPT scanning and reconstruction was performed using an established procedure36, islet quantification was performed using Imaris and image rendering using Volocity.

Image processing and analysis

AutoQuant X2 (Media Cybernetics, Bethesda, MD) was used for blind deconvolution of all confocal images. The analysis of islet volume based on backscatter signal obtained by confocal microscopy was performed using Matlab (Mathworks). The “equatorial volume” of islets is defined as the volume from the top of the islet down to the calculated equator of a spheroid model based on a three-dimensional reconstruction of backscattered light. The backscatter signal intensity of each islet was quantified by averaging voxel intensities in a cylinder having a length of 50 μm from the top towards the center of the islet and a diameter being half of that of the islet. For OPT-generated images, iso-surface reconstructions and quantification of islet volumes were obtained using Volocity (Perkin Elmer). Volocity was used for image display and Adobe Photoshop for image assembly.

Additional Information

How to cite this article: Ilegems, E. et al. Light scattering as an intrinsic indicator for pancreatic islet cell mass and secretion. Sci. Rep. 5, 10740; doi: 10.1038/srep10740 (2015).


  1. Dunn, M. F. Zinc-ligand interactions modulate assembly and stability of the insulin hexamer – a review. Biometals 18, 295–303 (2005).

    CAS  Article  Google Scholar 

  2. Virostko, J. et al. Bioluminescence imaging reveals dynamics of beta cell loss in the non-obese diabetic (NOD) mouse model. PLoS ONE 8, e57784 (2013).

    CAS  ADS  Article  Google Scholar 

  3. Reiner, T. et al. Accurate measurement of pancreatic islet {beta}-cell mass using a second-generation fluorescent exendin-4 analog. Proceedings of the National Academy of Sciences 108, 12815–12820 (2011).

    CAS  ADS  Article  Google Scholar 

  4. Hara, M. et al. Transgenic mice with green fluorescent protein-labeled pancreatic beta -cells. Am J Physiol Endocrinol Metab 284, E177–83 (2003).

    CAS  Article  Google Scholar 

  5. Lamprianou, S. et al. High-resolution magnetic resonance imaging quantitatively detects individual pancreatic islets. Diabetes 60, 2853–2860 (2011).

    Article  Google Scholar 

  6. Cline, G. W., Zhao, X., Jakowski, A. B., Soeller, W. C. & Treadway, J. L. Islet-selectivity of G-protein coupled receptor ligands evaluated for PET imaging of pancreatic β-cell mass. Biochem Biophys Res Commun 412, 413–418 (2011).

    CAS  Article  Google Scholar 

  7. Alanentalo, T. et al. Quantification and three-dimensional imaging of the insulitis-induced destruction of beta-cells in murine type 1 diabetes. Diabetes 59, 1756–1764 (2010).

    Article  Google Scholar 

  8. Villiger, M. et al. In vivo imaging of murine endocrine islets of Langerhans with extended-focus optical coherence microscopy. Diabetologia 52, 1599–1607 (2009).

    CAS  Article  Google Scholar 

  9. Kaminski, M. T., Lenzen, S. & Baltrusch, S. Real-time analysis of intracellular glucose and calcium in pancreatic beta cells by fluorescence microscopy. Biochim Biophys Acta 1823, 1697–1707 (2012).

    CAS  Article  Google Scholar 

  10. Kim, W. H., Lee, J., Jung, D.-W. & Williams, D. R. Visualizing sweetness: increasingly diverse applications for fluorescent-tagged glucose bioprobes and their recent structural modifications. Sensors (Basel) 12, 5005–5027 (2012).

    CAS  Article  Google Scholar 

  11. Merrins, M. J., Van Dyke, A. R., Mapp, A. K., Rizzo, M. A. & Satin, L. S. Direct measurements of oscillatory glycolysis in pancreatic islet β-cells using novel fluorescence resonance energy transfer (FRET) biosensors for pyruvate kinase M2 activity. Journal of Biological Chemistry 288, 33312–33322 (2013).

    CAS  Article  Google Scholar 

  12. Stožer, A., Dolenšek, J. & Rupnik, M. S. Glucose-stimulated calcium dynamics in islets of Langerhans in acute mouse pancreas tissue slices. PLoS ONE 8, e54638 (2013).

    ADS  Article  Google Scholar 

  13. Takahashi, N. Two-photon imaging of insulin exocytosis in pancreatic islets. Diabetology international. doi: 10.1007/s13340-011-0041-z (2011).

  14. Ilegems, E. et al. Reporter islets in the eye reveal the plasticity of the endocrine pancreas. Proceedings of the National Academy of Sciences 110, 20581–20586 (2013).

    CAS  ADS  Article  Google Scholar 

  15. Speier, S. et al. Noninvasive in vivo imaging of pancreatic islet cell biology. Nat Med 14, 574–578 (2008).

    CAS  Article  Google Scholar 

  16. Alanentalo, T. et al. Tomographic molecular imaging and 3D quantification within adult mouse organs. Nat Methods 4, 31–33 (2007).

    CAS  Article  Google Scholar 

  17. Wrenshall, G. A., Andrus, S. B. & Mayer, J. High levels of pancreatic insulin coexistent with hyperplasia and degranulation of beta cells in mice with the hereditary obese-hyperglycemic syndrome. Endocrinology 56, 335–340 (1955).

    CAS  Article  Google Scholar 

  18. Dean, P. M. Ultrastructural morphometry of the pancreatic beta-cell. Diabetologia 9, 115–119 (1973).

    CAS  Article  Google Scholar 

  19. Straub, S. G., Shanmugam, G. & Sharp, G. W. G. Stimulation of insulin release by glucose is associated with an increase in the number of docked granules in the beta-cells of rat pancreatic islets. Diabetes 53, 3179–3183 (2004).

    CAS  Article  Google Scholar 

  20. Olofsson, C. S. et al. Fast insulin secretion reflects exocytosis of docked granules in mouse pancreatic B-cells. Pflugers Arch 444, 43–51 (2002).

    CAS  Article  Google Scholar 

  21. Fava, E. et al. Novel standards in the measurement of rat insulin granules combining electron microscopy, high-content image analysis and in silico modelling. Diabetologia 55, 1013–1023 (2012).

    CAS  Article  Google Scholar 

  22. Dodson, G. & Steiner, D. The role of assembly in insulin’s biosynthesis. Curr Opin Struct Biol 8, 189–194 (1998).

    CAS  Article  Google Scholar 

  23. Lemaire, K. et al. Insulin crystallization depends on zinc transporter ZnT8 expression, but is not required for normal glucose homeostasis in mice. Proceedings of the National Academy of Sciences 106, 14872–14877 (2009).

    CAS  ADS  Article  Google Scholar 

  24. Hou, J. C., Min, L. & Pessin, J. E. Insulin granule biogenesis, trafficking and exocytosis. Vitam. Horm. 80, 473–506 (2009).

    CAS  Article  Google Scholar 

  25. Johnsen, S. & Widder, E. The physical basis of transparency in biological tissue: ultrastructure and the minimization of light scattering. J Theor Biol 199, 181–198 (1999).

    CAS  Article  Google Scholar 

  26. Vogel, H. Search by X-rays applied technology. Eur J Radiol 63, 227–236 (2007).

    CAS  Article  Google Scholar 

  27. Köhler, M. et al. One-step purification of functional human and rat pancreatic alpha cells. Integr Biol (Camb) 4, 209–219 (2012).

    Article  Google Scholar 

  28. Mie, G. Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen. Annalen Der Physik 330, 377–445 (1908).

    ADS  Article  Google Scholar 

  29. Wilson, J. D. & Foster, T. H. Mie theory interpretations of light scattering from intact cells. Opt Lett 30, 2442–2444 (2005).

    ADS  Article  Google Scholar 

  30. Suckale, J. & Solimena, M. The insulin secretory granule as a signaling hub. Trends Endocrinol. Metab. 21, 599–609 (2010).

    CAS  Article  Google Scholar 

  31. Wijesekara, N. et al. Beta cell-specific Znt8 deletion in mice causes marked defects in insulin processing, crystallisation and secretion. Diabetologia 53, 1656–1668 (2010).

    CAS  Article  Google Scholar 

  32. Wojtusciszyn, A., Armanet, M., Morel, P., Berney, T. & Bosco, D. Insulin secretion from human beta cells is heterogeneous and dependent on cell-to-cell contacts. Diabetologia 51, 1843–1852 (2008).

    CAS  Article  Google Scholar 

  33. Stefan, Y., Meda, P., Neufeld, M. & Orci, L. Stimulation of insulin secretion reveals heterogeneity of pancreatic B cells in vivo. J Clin Invest 80, 175–183 (1987).

    CAS  Article  Google Scholar 

  34. Jörns, A. Immunocytochemical and ultrastructural heterogeneities of normal and glibenclamide stimulated pancreatic beta cells in the rat. Virchows Arch. 425, 305–313 (1994).

    Article  Google Scholar 

  35. Carter, J. D., Dula, S. B., Corbin, K. L., Wu, R. & Nunemaker, C. S. A practical guide to rodent islet isolation and assessment. Biol Proced Online 11, 3–31 (2009).

    CAS  Article  Google Scholar 

  36. Alanentalo, T. et al. High-resolution three-dimensional imaging of islet-infiltrate interactions based on optical projection tomography assessments of the intact adult mouse pancreas. J Biomed Opt 13, 054070 (2008).

    Article  Google Scholar 

Download references


We thank the Nordic Network for Clinical Islet Transplantation for supplying the human islets, Kjell Hultenby at the Karolinska Institutet’s electron microscopy shared facility for processing and imaging samples by TEM. This work was supported by funds from Karolinska Institutet, grants from the Swedish Research Council, the Novo Nordisk Foundation, People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under REA grant agreement n° 289932, the Swedish Diabetes Association, the Family Knut and Alice Wallenberg Foundation, Diabetes Research and Wellness Foundation, Berth von Kantzow’s Foundation, the Skandia Insurance Company, Ltd, the Strategic Research Programme in Diabetes at Karolinska Institutet, ERC-2013-AdG 338936-BetaImage, the Stichting af Jochnick Foundation and the Family Erling-Persson Foundation.

Author information




E.I. designed research; E.I. and P.P.v.K. performed confocal imaging experiments; E.I., P.K.E. and P.P.v.K. processed and analyzed confocal microscopy data; A.D. performed transplantations and animal physiology experiments; E.I. performed immunohistochemistry; T.A., M.E. and U.A. processed and analyzed O.P.T. samples; S.M. performed insulin concentration measurements; E.I. prepared the figures and E.I., P.-O.B. and U.A. wrote the manuscript.

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ilegems, E., van Krieken, P., Edlund, P. et al. Light scattering as an intrinsic indicator for pancreatic islet cell mass and secretion. Sci Rep 5, 10740 (2015).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing