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OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows
- Source :
- iScience, Vol 2, Iss, Pp 136-140 (2018), iScience, Booth, BW; McParland, C; Beattie, K; Fisher, WW; Hammonds, AS; Celniker, SE; et al.(2018). OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows.. iScience, 2, 136-140. doi: 10.1016/j.isci.2018.03.017. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/6c90r2zx
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 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 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.<br />Graphical abstract
- Subjects :
- 0301 basic medicine
Microscope
Computer science
Systems biology
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Bioengineering
Image processing
Article
law.invention
03 medical and health sciences
0302 clinical medicine
Software
law
lcsh:Science
Multidisciplinary
business.industry
Robotics
3. Good health
Range (mathematics)
030104 developmental biology
Workflow
Networking and Information Technology R&D (NITRD)
High-content screening
Biomedical Imaging
lcsh:Q
Generic health relevance
Artificial intelligence
business
030217 neurology & neurosurgery
Computer hardware
Subjects
Details
- ISSN :
- 25890042
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- iScience
- Accession number :
- edsair.doi.dedup.....b0eb1c47bb0b7df56805ef41514ed037
- Full Text :
- https://doi.org/10.1016/j.isci.2018.03.017