Tools for automating the imaging of zebrafish larvae

Area of Science:

• * Developmental Biology
• * Imaging Technology
• * Zebrafish Research

Background:

• * High-content imaging of zebrafish larvae is crucial for large-scale studies in drug discovery and toxicology.
• * Manual handling and positioning of zebrafish larvae for imaging are time-consuming and limit throughput.
• * Existing methods lack automation for precise larval orientation, hindering detailed organ system imaging.

Purpose of the Study:

• * To introduce the VAST BioImager system for automated zebrafish larva handling and image acquisition.
• * To enable high-throughput, high-content imaging of 2-7 days post-fertilization (dpf) zebrafish larvae.
• * To facilitate precise imaging of specific tissues and organ systems within zebrafish larvae.

Main Methods:

• * Automated loading, positioning, and orientation of individual zebrafish larvae using pattern recognition.
• * Color image collection at approximately 10 μm resolution via an on-board camera.
• * Integration with upright microscopes (confocal, fluorescence) for enhanced resolution and detail.
• * Flexible larva feeding options from bulk reservoirs, 96-well plates (LP Sampler), or Petri dishes (VAST Pipettor).

Main Results:

• * Demonstrated automation of larval handling, positioning, and orientation tasks.
• * Achieved efficient, repeatable image collection from multiple zebrafish larvae.
• * Enabled user-defined precise positioning for optimal imaging of specific larval structures.
• * Significantly increased throughput for high-content imaging assays compared to manual methods.

Conclusions:

• * The VAST BioImager system significantly improves efficiency and throughput for zebrafish larva imaging.
• * Automation of handling and precise positioning facilitates detailed, high-content image collection for research.
• * The system supports applications in drug discovery, toxicology, and other fields requiring large-scale zebrafish studies.