ArticleJournal of cell science2024
VISION - an open-source software for automated multi-dimensional image analysis of cellular biophysics.
Article in Journal of cell science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Cell surface remodeling caused by the loss of the flippase subunit TMEM30A in immune cells.Journal of cell science · 2026Article
- Plasma membrane order maps functional diversity in immune cells.Nature chemical biology · 2026Article
- Studying Macromolecular Composition in Cell-Cell Interfaces Using 3D Membrane Reconstitution Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Imaging Single Particle Profiler to Study Nanoscale Bioparticles Using Conventional Confocal Microscopy.Nano letters · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Environment-sensitive probes are frequently used in spectral and multi-channel microscopy to study alterations in cell homeostasis. However, the few open-source packages available for processing of spectral images are limited in scope. Here, we present VISION, a stand-alone software based on Python for spectral analysis with improved applicability. In addition to classical intensity-based analysis, our software can batch-process multidimensional images with an advanced single-cell segmentation capability and apply user-defined mathematical operations on spectra to calculate biophysical and metabolic parameters of single cells. VISION allows for 3D and temporal mapping of properties such as membrane fluidity and mitochondrial potential. We demonstrate the broad applicability of VISION by applying it to study the effect of various drugs on cellular biophysical properties. the correlation between membrane fluidity and mitochondrial potential, protein distribution in cell-cell contacts and properties of nanodomains in cell-derived vesicles. Together with the code, we provide a graphical user interface for easy adoption.
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Registered trials
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