In:
Bioinformatics, Oxford University Press (OUP), Vol. 33, No. 19 ( 2017-10-01), p. 3145-3147
Abstract:
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. Supplementary information Supplementary data are available at Bioinformatics online.
Type of Medium:
Online Resource
ISSN:
1367-4803
,
1367-4811
DOI:
10.1093/bioinformatics/btx376
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2017
detail.hit.zdb_id:
1468345-3
SSG:
12
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