Featured
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Research Briefing |
Inferring how animals deform improves cell tracking
Tracking cells is a time-consuming part of biological image analysis, and traditional manual annotation methods are prohibitively laborious for tracking neurons in the deforming and moving Caenorhabditis elegans brain. By leveraging machine learning to develop a ‘targeted augmentation’ method, we substantially reduced the number of labeled images required for tracking.
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Technology Feature |
Modeling the early embryo
Widespread adoption of new embryo models hinges on how faithfully they mirror real embryos.
- Vivien Marx
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Research Highlight |
Three views are better than one
Researchers push the limits of confocal microscopy by combining multiple views, super-resolution and deep learning.
- Rita Strack
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Article
| Open Access
Engineered HaloTag variants for fluorescence lifetime multiplexing
HaloTag variants offer distinct brightness and fluorescence lifetimes compared with HaloTag7 when labeled with rhodamines. These variants were used for multiplexed imaging with a single fluorophore and to create lifetime-based cell cycle indicators.
- Michelle S. Frei
- , Miroslaw Tarnawski
- & Kai Johnsson
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This Month |
Caterina Strambio-De-Castillia
Sharing, teaching and singing to bring people together on microscopy standards.
- Vivien Marx
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Brief Communication
| Open Access
Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications
Micro-Meta App is an intuitive, highly interoperable, open-source software tool designed to facilitate the extraction and collection of relevant microscopy metadata as specified by recent community guidelines.
- Alessandro Rigano
- , Shannon Ehmsen
- & Caterina Strambio-De-Castillia
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News & Views |
A new way to see RNAs
Producing reliable atomic- or close-to-atomic-resolution structures of RNA-only molecules has been a formidable task. Ribosolve can solve sub-nanometer-resolution cryo-EM structures of unbound RNA molecules with unprecedented accuracy and speed.
- Jane S. Richardson
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Article |
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Deep-Z uses deep learning to go from a two-dimensional snapshot to three-dimensional fluorescence images. The method improves imaging speed while reducing light dose, and was shown to be useful for accurate structural and functional imaging of neurons in Caenorhabditis elegans.
- Yichen Wu
- , Yair Rivenson
- & Aydogan Ozcan
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Article |
Nuclear pores as versatile reference standards for quantitative superresolution microscopy
Cell lines in which Nup96 is endogenously tagged with mEGFP, SNAP-tag, HaloTag or mMaple serve as versatile reference samples, enabling 3D resolution calibration, assessment of labeling efficiency and precise molecular counting.
- Jervis Vermal Thevathasan
- , Maurice Kahnwald
- & Jonas Ries
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Perspective |
Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction
This Perspective highlights recent applications of deep learning in fluorescence microscopy image reconstruction and discusses future directions and limitations of these approaches.
- Chinmay Belthangady
- & Loic A. Royer
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Brief Communication |
A general method to quantify ligand-driven oligomerization from fluorescence-based images
Fluorescence intensity fluctuation spectrometry provides a rapid and accurate measurement of the identity, abundance and stability of protein oligomers.
- Michael R. Stoneman
- , Gabriel Biener
- & Valerică Raicu
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Research Highlight |
Quantum imaging in biological samples
The combination of image scanning microscopy and quantum imaging improves resolution up to fourfold compared with the classical diffraction barrier.
- Christian Schnell
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Brief Communication |
A robust and versatile platform for image scanning microscopy enabling super-resolution FLIM
A single-photon detector array enables robust and versatile image scanning microscopy (ISM) on any confocal microscope. This implementation makes super-resolution FLIM possible and eases a transition from confocal microscopy to ISM.
- Marco Castello
- , Giorgio Tortarolo
- & Giuseppe Vicidomini
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Correspondence |
Reply to ‘Water content, not stiffness, dominates Brillouin spectroscopy measurements in hydrated materials’
- Giuliano Scarcelli
- & Seok Hyun Yun
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Correspondence |
Water content, not stiffness, dominates Brillouin spectroscopy measurements in hydrated materials
- Pei-Jung Wu
- , Irina V. Kabakova
- & Darryl R. Overby
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Research Highlights |
Off-the-shelf super-resolution microscopy in whole cells
The combination of DNA-PAINT and spinning-disk confocal microscopy makes super-resolution microscopy in whole cells affordable and easy to implement.
- Christian Schnell
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Methods in Brief |
Single-molecule imaging and force spectroscopy at extended depth
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Advertising Feature: Application Note |
The new 2D Superresolution mode for ZEISS Airyscan
- Joseph Huff
- , Annette Bergter
- & Uros Krzic
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Methods in Brief |
Better 2D visualization of 3D image stacks
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Technology Feature |
Cell biology: tracking a cell's cycle
The tools that clock a cell's everyday affairs reveal plenty that's out of the ordinary.
- Vivien Marx
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Advertising Feature: Application Note |
The Fast mode for ZEISS LSM 880 with Airyscan: high-speed confocal imaging with super-resolution and improved signal-to-noise ratio
- Joseph Huff
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Analysis |
Quantitative assessment of fluorescent proteins
This Analysis provides a head-to-head comparison of >40 monomeric fluorescent proteins in terms of photophysical properties, photostability and performance in fusions to help users choose the best-performing tools.
- Paula J Cranfill
- , Brittney R Sell
- & David W Piston
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Advertising Feature: Application Note |
HyVolution—the smart path to confocal super-resolution
- Rolf Theodor Borlinghaus
- & Constantin Kappel
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Technology Feature |
Optimizing probes to image cleared tissue
Probes and imaging finesse for a clearer view of tissue.
- Vivien Marx
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Advertising Feature: Application Note |
The Airyscan detector from ZEISS: confocal imaging with improved signal-to-noise ratio and super-resolution
- Joseph Huff
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Brief Communication |
Ultrafast, temporally stochastic STED nanoscopy of millisecond dynamics
Temporally stochastic STED nanoscopy with electro-optical deflector–based scanning allows ultrafast super-resolution imaging. The method was used to monitor vesicles and viruses moving at ~2 μm/s with no motion blur.
- Jale Schneider
- , Jasmin Zahn
- & Stefan W Hell
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Research Highlights |
Bigger is better for super-resolution
Expansion microscopy uses enlarged samples for high-resolution imaging with conventional microscopes.
- Rita Strack
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Research Highlights |
Magnificent myelin
Spectral confocal reflectance microscopy helps visualize myelinated axons in vivo without any labeling.
- Nina Vogt
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Brief Communication |
Rapid adaptive optical recovery of optimal resolution over large volumes
Adaptive optics microscopy using a de-scanned, laser-induced guide star and direct wavefront sensing allows high numerical aperture diffraction-limited imaging of fine dynamic structures deep in the intact living zebrafish brain.
- Kai Wang
- , Daniel E Milkie
- & Eric Betzig
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Article |
Instant super-resolution imaging in live cells and embryos via analog image processing
An analog implementation of structured illumination using matched microlens and pinhole arrays allows up to 100-Hz 3D two-color imaging with 145-nm lateral and 350-nm axial resolution.
- Andrew G York
- , Panagiotis Chandris
- & Hari Shroff
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Article |
BrainAligner: 3D registration atlases of Drosophila brains
Software for the automated and accurate registration of multiple images of Drosophila melanogaster brain is reported. It is used to build a preliminary atlas of gene expression in the fly brain.
- Hanchuan Peng
- , Phuong Chung
- & Julie H Simpson
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Article |
Ultrahigh-resolution optical trap with single-fluorophore sensitivity
The combination of an ultrahigh-resolution dual optical trap with a confocal microscope allowed single-fluorophore detection of labeled oligonucleotide binding and simultaneous measurement of angstrom-scale changes in DNA tether extension.
- Matthew J Comstock
- , Taekjip Ha
- & Yann R Chemla
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Correspondence |
Nano-imaging of membrane topography affects interpretations in cell biology
- Kees Jalink
- & Jacco van Rheenen
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News & Views |
The inside view on plant growth
With a combination of microscopic and computational methods, the lineage of cells produced by divisions in the meristems of growing plants can now be tracked over time.
- Edgar P Spalding
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Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Spatial heterogeneity in molecular brightness
Philippe Bastiaens