Volume electron microscopy

CJ Peddie, C Genoud, A Kreshuk, K Meechan… - Nature Reviews …, 2022 - nature.com
Life exists in three dimensions, but until the turn of the century most electron microscopy
methods provided only 2D image data. Recently, electron microscopy techniques capable of …

A hitchhiker's guide through the bio‐image analysis software universe

R Haase, E Fazeli, D Legland, M Doube, S Culley… - Febs …, 2022 - Wiley Online Library
Modern research in the life sciences is unthinkable without computational methods for
extracting, quantifying and visualising information derived from microscopy imaging data of …

The scverse project provides a computational ecosystem for single-cell omics data analysis

I Virshup, D Bredikhin, L Heumos, G Palla… - Nature …, 2023 - nature.com
Single-cell omics technologies have enabled the creation of comprehensive cell atlases
across tissues and species and delivered key insights into the biological mechanisms …

SpatialData: an open and universal data framework for spatial omics

L Marconato, G Palla, KA Yamauchi, I Virshup… - Nature …, 2024 - nature.com
Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

OME-Zarr: a cloud-optimized bioimaging file format with international community support

J Moore, D Basurto-Lozada, S Besson… - Histochemistry and Cell …, 2023 - Springer
A growing community is constructing a next-generation file format (NGFF) for bioimaging to
overcome problems of scalability and heterogeneity. Organized by the Open Microscopy …

WebAtlas pipeline for integrated single-cell and spatial transcriptomic data

T Li, D Horsfall, D Basurto-Lozada, K Roberts… - Nature …, 2024 - nature.com
Single-cell and spatial transcrip-tomics illuminate complementary features of tissues.
Computational integration can synergize these technologies to resolve cell types and …

TIAToolbox as an end-to-end library for advanced tissue image analytics

J Pocock, S Graham, QD Vu, M Jahanifar… - Communications …, 2022 - nature.com
Background Computational pathology has seen rapid growth in recent years, driven by
advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel …

Image processing tools for petabyte-scale light sheet microscopy data

X Ruan, M Mueller, G Liu, F Görlitz, TM Fu, DE Milkie… - Nature …, 2024 - nature.com
Light sheet microscopy is a powerful technique for high-speed three-dimensional imaging of
subcellular dynamics and large biological specimens. However, it often generates datasets …

navigate: an open-source platform for smart light-sheet microscopy

Z Marin, X Wang, DW Collison, C McFadden, J Lin… - Nature …, 2024 - nature.com
Light-sheet fluorescence microscopy (LSFM) enables fast, gentle and large-volume imaging,
making it an increasingly important tool for cell biological discovery. In both live cells and …

MITI minimum information guidelines for highly multiplexed tissue images

D Schapiro, C Yapp, A Sokolov, SM Reynolds… - Nature …, 2022 - nature.com
The imminent release of tissue atlases combining multichannel microscopy with single-cell
sequencing and other omics data from normal and diseased specimens creates an urgent …