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LEVERSC: Cross-Platform Scriptable Multichannel 3-D Visualization for Fluorescence Microscopy Images
Journal article   Open access   Peer reviewed

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

Mark Winter and Andrew R. Cohen
Frontiers in Bioinformatics, v 2, pp 740078-740078
17 Mar 2022
url
https://doi.org/10.3389/fbinf.2022.740078View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Bioinformatics biological microscopy computational analysis light microscopy scripted rendering visualization
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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