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AutoScanJ: A Suite of ImageJ Scripts for Intelligent Microscopy.
Sébastien Tosi1, Anna Lladó1, Lídia Bardia1
1Institute for Research in Biomedicine, IRB Barcelona, Barcelona Institute of Science and Technology, BIST, Barcelona, Spain.
Frontiers in Bioinformatics
|October 28, 2022
Summary
AutoscanJ is a new ImageJ script suite that automates microscopy for live and fixed samples. It enables high-resolution imaging of biological events and reduces data acquisition time for rare targets.
Area of Science:
- Microscopy automation
- Image analysis software
- Biological imaging
Background:
- Manual microscopy is time-consuming and limits the capture of dynamic biological events.
- Acquiring data for rare targets in fixed samples can be inefficient.
Purpose of the Study:
- To develop an automated microscopy solution for enhanced biological imaging.
- To improve efficiency in data acquisition for both live and fixed samples.
Main Methods:
- Developed AutoscanJ, a suite of ImageJ scripts for automated microscope control.
- Integrated target detection and high-resolution imaging capabilities.
- Ensured compatibility with Leica LAS AF/X and Micro-Manager software.
Main Results:
- AutoscanJ enables real-time detection and imaging of biological events in live samples.
- Significantly reduces data volume and acquisition time for fixed samples with rare targets.
- Demonstrated utility across five diverse application scenarios, including live cell division.
Conclusions:
- AutoscanJ optimizes microscope usage through autonomous operation.
- Facilitates new experimental possibilities by enabling selective imaging of transient events.
- Provides shareable ImageJ macro functions for custom target detection workflows.
