用于秀丽隐杆线虫实时表型筛选的线扫描成像

Line-scan imaging for real-time phenotypic screening of C. elegans.

作者信息

Au Aaron, Giuliani Maximiliano, Harrington Sean, Roy Peter, Yip Christopher M

机构信息

Institute of Biomedical Engineering University of Toronto, Toronto, Ontario M5S 3G9, Canada.

Terrence Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario M5S 1E1, Canada.

出版信息

Rev Sci Instrum. 2025 Jun 1;96(6). doi: 10.1063/5.0238824.

DOI:10.1063/5.0238824

PMID:40525927

Abstract

Phenotypic screens of living organisms often require real-time, high spatial resolution imaging. We report here on the design and application of a line-scan imaging platform that enables bright-field imaging of live nematodes using a 96-well plate configuration. The system optics are such that each individual well is projected across the full field of view of a 4 K line scanning camera. To minimize motional artifacts, the camera system is translated, while the sample is kept stationary. We discuss the challenges in establishing flat field illumination, image registration and stitching, and the opportunities that this platform has enabled for phenotypic screens of living systems.

摘要

对活生物体进行表型筛选通常需要实时、高空间分辨率成像。我们在此报告一种线扫描成像平台的设计与应用，该平台能够使用96孔板配置对活线虫进行明场成像。该系统的光学设计使得每个单独的孔都能投影到一台4K线扫描相机的整个视野范围内。为了尽量减少运动伪影，相机系统平移，而样本保持静止。我们讨论了建立平场照明、图像配准和拼接方面的挑战，以及该平台为活系统表型筛选带来的机遇。