LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images

We describe a new open-source program called LEVERSC to address the challenges of visualizing the multi-channel 3-D images prevalent in biological microscopy. LEVERSC uses a custom WebGL hardware-accelerated raycasting engine unique in its combination of rendering quality and performance, particular...

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Detalles Bibliográficos
Autores principales: Winter, Mark, Cohen, Andrew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580858/
https://www.ncbi.nlm.nih.gov/pubmed/36304277
http://dx.doi.org/10.3389/fbinf.2022.740078
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author Winter, Mark
Cohen, Andrew R.
author_facet Winter, Mark
Cohen, Andrew R.
author_sort Winter, Mark
collection PubMed
description We describe a new open-source program called LEVERSC to address the challenges of visualizing the multi-channel 3-D images prevalent in biological microscopy. LEVERSC uses a custom WebGL hardware-accelerated raycasting engine unique in its combination of rendering quality and performance, particularly for multi-channel data. Key features include platform independence, quantitative visualization through interactive voxel localization, and reproducible dynamic visualization via the scripting interface. LEVERSC is fully scriptable and interactive, and works with MATLAB, Python and Java/ImageJ.
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spelling pubmed-95808582022-10-26 LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images Winter, Mark Cohen, Andrew R. Front Bioinform Bioinformatics We describe a new open-source program called LEVERSC to address the challenges of visualizing the multi-channel 3-D images prevalent in biological microscopy. LEVERSC uses a custom WebGL hardware-accelerated raycasting engine unique in its combination of rendering quality and performance, particularly for multi-channel data. Key features include platform independence, quantitative visualization through interactive voxel localization, and reproducible dynamic visualization via the scripting interface. LEVERSC is fully scriptable and interactive, and works with MATLAB, Python and Java/ImageJ. Frontiers Media S.A. 2022-03-17 /pmc/articles/PMC9580858/ /pubmed/36304277 http://dx.doi.org/10.3389/fbinf.2022.740078 Text en Copyright © 2022 Winter and Cohen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioinformatics
Winter, Mark
Cohen, Andrew R.
LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title_full LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title_fullStr LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title_full_unstemmed LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title_short LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
title_sort leversc: cross-platform scriptable multichannel 3-d visualization for fluorescence microscopy images
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580858/
https://www.ncbi.nlm.nih.gov/pubmed/36304277
http://dx.doi.org/10.3389/fbinf.2022.740078
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AT cohenandrewr leversccrossplatformscriptablemultichannel3dvisualizationforfluorescencemicroscopyimages

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