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OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows.
Booth, Benjamin W; McParland, Charles; Beattie, Keith; Fisher, William W; Hammonds, Ann S; Celniker, Susan E; Frise, Erwin.
Afiliação
  • Booth BW; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • McParland C; Computer Science Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Beattie K; Computer Science Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Fisher WW; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Hammonds AS; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Celniker SE; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Frise E; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Electronic address: erwin@fruitfly.org.
iScience ; 2: 136-140, 2018 04 27.
Article em En | MEDLINE | ID: mdl-29888763
ABSTRACT
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 work-flows. 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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: IScience Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: IScience Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos