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OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows

Authors :
Benjamin W. Booth
Charles McParland
Keith Beattie
William W. Fisher
Ann S. Hammonds
Susan E. Celniker
Erwin Frise
Source :
iScience, Vol 2, Iss , Pp 136-140 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Summary: High-content image acquisition is generally limited to cells grown in culture, requiring complex hardware and preset imaging modalities. Here we report an open source software package, OpenHiCAMM (Open Hi Content Acquisition for μManager), that provides a flexible framework for integration of generic microscope-associated robotics and image processing with sequential workflows. As an example, we imaged Drosophila embryos, detecting the embryos at low resolution, followed by re-imaging the detected embryos at high resolution, suitable for computational analysis and screening. The OpenHiCAMM package is easy to use and adapt for automating complex microscope image tasks. It expands our abilities for high-throughput image-based screens to a new range of biological samples, such as organoids, and will provide a foundation for bioimaging systems biology. : Optical Imaging; Technical Aspects of Cell Biology; Bioinformatics Subject Areas: Optical Imaging, Technical Aspects of Cell Biology, Bioinformatics

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
25890042
Volume :
2
Issue :
136-140
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.941e1a2272bc4dd9a0848d5053697ec6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2018.03.017