Presentation
15 March 2023 Open-source image analysis pipeline with 100+ fold speed-up and real-time compression (Conference Presentation)
Author Affiliations +
Abstract
We propose an end-to-end image analysis pipeline based on the Adaptive Particle Representation (APR) for analyzing large 3D cleared tissue samples such as whole mouse brains or large human brain sections, achieving 100+ times faster computation. Our pipeline is compatible with real-time use, i.e. analysis can be done during acquisition. In addition to faster processing, using APR yields memory and storage compression ratios ranging from dozens to thousands depending on the labeling sparsity, saving costs on the storage and computing infrastructures.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jules Scholler, Joel Jonsson, Tomas Jorda-Siquier, Ivana Gantar, Laura Batti, Stephane Pages, Christophe M. Lamy, and Ivo F. Sbalzarini "Open-source image analysis pipeline with 100+ fold speed-up and real-time compression (Conference Presentation)", Proc. SPIE PC12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX, PC1238509 (15 March 2023); https://doi.org/10.1117/12.2647105
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KEYWORDS
Brain

Image analysis

Image compression

Data conversion

Statistical analysis

Error control coding

Lead

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