What question did this study set out to answer?

To develop a Python script for stitching confocal image tiles from the VAST BioImager system for zebrafish larvae.

April 22, 2026Open Access

Workflow and Example Dataset for Python-Based Stitching of Confocal Zebrafish Images from VAST BioImager-Based Screening

Puntos clave

To develop a Python script for stitching confocal image tiles from the VAST BioImager system for zebrafish larvae.
Utilized Python to create a stitching script for confocal images.
Engaged an automated imaging platform for high-resolution imaging.
Provided example datasets to validate the stitching script.
Successfully stitched image tiles into comprehensive images.
Available datasets allow for script testing and verification.
Facilitated high-resolution imaging of 2–5-day-old zebrafish larvae.

Resumen

A Python-based stitching script for individual tiles obtained with an automated imaging platform that combines the Vertebrate Automated Screening Technology (VAST) BioImager system (Union Biometrica), the Large Particle (LP) Sampler (Union Biometrica), and the Zeiss Cell Observer Spinning Disk Confocal Microscopic System (SDCM) (Early et al., 2018). The Lyons Lab (https://www.lyons-lab.com/) designed the system as a screening tool for automated, high-resolution, in vivo imaging of 2–5-day-old zebrafish larvae. Two datasets are available to test the script, along with the final stitched files for comparison.

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