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Related Experiment Video

Updated: Feb 9, 2026

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
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OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows.

Benjamin W Booth1, Charles McParland2, Keith Beattie2

  • 1Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Iscience
|June 12, 2018
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Summary
This summary is machine-generated.

We developed OpenHiCAMM, an open-source software for high-content image acquisition. This flexible tool automates complex microscopy tasks, enabling high-throughput screening of diverse biological samples like organoids.

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Area of Science:

  • Bioimaging
  • Computational Biology
  • Microscopy Automation

Background:

  • High-content image acquisition is typically restricted to cultured cells, demanding specialized hardware and fixed imaging parameters.
  • Existing methods lack flexibility for complex, sequential imaging workflows and diverse sample types.

Purpose of the Study:

  • To introduce OpenHiCAMM, an open-source software package for flexible high-content image acquisition.
  • To enable automated, sequential imaging workflows integrating robotics and image processing.
  • To expand high-throughput image-based screening capabilities to new biological samples.

Main Methods:

  • Developed OpenHiCAMM, an open-source software package integrating microscope robotics and image processing.
  • Implemented sequential work-flows for automated image acquisition.
  • Demonstrated application using Drosophila embryos, with low-resolution detection followed by high-resolution re-imaging.

Main Results:

  • OpenHiCAMM provides a flexible framework for automating complex microscopy tasks.
  • The software facilitates sequential imaging, enabling detailed analysis and screening.
  • Successfully imaged Drosophila embryos with a novel detection and re-imaging strategy.

Conclusions:

  • OpenHiCAMM enhances the automation of complex microscope image tasks.
  • The software expands high-throughput screening to samples like organoids.
  • Provides a foundation for advanced bioimaging systems biology.