Open AccessPlatform for quantitative multiscale imaging of tissue composition
Author(s) -
Michael A. Pinkert,
Z. J. Simmons,
Ryan C. Niemeier,
Bing Dai,
Lauren B. Woods,
Timothy J. Hall,
Paul J. Campagnola,
Jeremy D. Rogers,
Kevin W. Eliceiri
Publication year - 2020
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.383248
Subject(s) - optical coherence tomography , computer science , modality (human–computer interaction) , microscopy , medical imaging , biomedical engineering , computer vision , artificial intelligence , optics , medicine , physics
Changes in the multi-level physical structure of biological features going from cellular to tissue level composition is a key factor in many major diseases. However, we are only beginning to understand the role of these structural changes because there are few dedicated multiscale imaging platforms with sensitivity at both the cellular and macrostructural spatial scale. A single platform reduces bias and complications from multiple sample preparation methods and can ease image registration. In order to address these needs, we have developed a multiscale imaging system using a range of imaging modalities sensitive to tissue composition: Ultrasound, Second Harmonic Generation Microscopy, Multiphoton Microscopy, Optical Coherence Tomography, and Enhanced Backscattering. This paper details the system design, the calibration for each modality, and a demonstration experiment imaging a rabbit eye.