Presentation
13 March 2024 High-content multimodal in vivo imaging using a parallelized gigapixel scale microscope
Xi Yang, Aurélien Bègue, Mark Harfouche, Clare Cook, Kanghyun Kim, Kevin Zhou, Roarke Horstmeyer
Author Affiliations +
Abstract
We introduce an innovative MCAM architecture using a 6x8 array of 48 lenses and sensors for simultaneous 0.624 gigapixel imaging within a few centimeters, delivering near-cellular resolution. This enables 3D video recording and radiometric fluorescence imaging of organisms using stereoscopic capture and appropriate filters. Such a feature proves advantageous when conducting combined investigations into organism behavior and functional fluorescence measurements. Moreover, the MCAM is equipped to perform birefringent imaging by incorporating suitable polarizers. We demonstrate the multimodal imaging capacity of this system using a variety of specimens, notably Drosophila, and zebrafish.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Yang, Aurélien Bègue, Mark Harfouche, Clare Cook, Kanghyun Kim, Kevin Zhou, and Roarke Horstmeyer "High-content multimodal in vivo imaging using a parallelized gigapixel scale microscope", Proc. SPIE PC12848, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXXI, PC128480H (13 March 2024); https://doi.org/10.1117/12.3002079
Advertisement
Advertisement
KEYWORDS
Organisms

In vivo imaging

Microscopy

Alzheimer's disease

Biological imaging

Neurological disorders

Motion models

Back to Top