Gigapixel imaging with microlens arrays

Antony Orth; Ethan Schonbrun

doi:10.1117/12.2212782

7 March 2016 Gigapixel imaging with microlens arrays

Antony Orth, Ethan Schonbrun

Proceedings Volume 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management; 97200C (2016) https://doi.org/10.1117/12.2212782
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

A crucial part of the drug discovery process involves imaging the response of thousands of cell cultures to candidate drugs. Quantitative parameters from these “high content screens”, such as protein expression and cell morphology, are extracted from fluorescence and brightfield micrographs. Due to the sheer number of cells that need to imaged for adequate statistics, the imaging time itself is a major bottleneck. Automated microscopes image small fields-of-view (FOVs) serially, which are then stitched together to form gigapixel-scale mosaics. We have developed a microscopy architecture that reduces mechanical overhead of traditional large field-of-view by parallelizing the image capture process. Instead of a single objective lens imaging FOVs one by one, we employ a microlens array for continuous photon capture, resulting in a 3-fold throughput increase. In this contribution, we present the design and imaging results of this microscopy architecture in three different contrast modes: multichannel fluorescence, hyperspectral fluorescence and brightfield.

Citation Download Citation

Antony Orth and Ethan Schonbrun "Gigapixel imaging with microlens arrays", Proc. SPIE 9720, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management, 97200C (7 March 2016); https://doi.org/10.1117/12.2212782

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