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ABSTRACT: Summary
To expedite the review of semi-automated probability maps of organelles and other features from 3D electron microscopy data we have developed Probability Map Viewer, a Java-based web application that enables the computation and visualization of probability map generation results in near real-time as the data are being collected from the microscope. Probability Map Viewer allows the user to select one or more voxel classifiers, apply them on a sub-region of an active collection, and visualize the results as overlays on the raw data via any web browser using a personal computer or mobile device. Thus, Probability Map Viewer accelerates and informs the image analysis workflow by providing a tool for experimenting with and optimizing dataset-specific segmentation strategies during imaging.Availability and implementation
https://github.com/crbs/probabilitymapviewer.Contact
mellisman@ucsd.edu.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Churas C
PROVIDER: S-EPMC5870650 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Churas Christopher C Perez Alex J AJ Hakozaki Hiroyuki H Wong Willy W Lee David D Peltier Steven T ST Ellisman Mark H MH
Bioinformatics (Oxford, England) 20171001 19
<h4>Summary</h4>To expedite the review of semi-automated probability maps of organelles and other features from 3D electron microscopy data we have developed Probability Map Viewer, a Java-based web application that enables the computation and visualization of probability map generation results in near real-time as the data are being collected from the microscope. Probability Map Viewer allows the user to select one or more voxel classifiers, apply them on a sub-region of an active collection, a ...[more]