Light sheet theta microscopy for rapid high-resolution imaging of large biological samples
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12915_2018_Article_521.pdf
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Author(s)
Migliori, Bianca
Datta, Malika S
Dupre, Christophe
Apak, Mehmet C
Hermanson, Ola
Yuste, Rafael
Tomer, Raju
Datta, Malika S.
Apak, Mehmet C.
Boyden, Edward S.
Date Issued
May 2018
Journal
BMC Biology
Publisher
BioMed Central
Citation
Migliori, Bianca et al. "Light sheet theta microscopy for rapid high-resolution imaging of large biological samples." BMC Biology 2018, 16 (May 2018): 57 © 2018 Tomer et al
Version
Final published version
Abstract
Background
Advances in tissue clearing and molecular labeling methods are enabling unprecedented optical access to large intact biological systems. These developments fuel the need for high-speed microscopy approaches to image large samples quantitatively and at high resolution. While light sheet microscopy (LSM), with its high planar imaging speed and low photo-bleaching, can be effective, scaling up to larger imaging volumes has been hindered by the use of orthogonal light sheet illumination.
Results
To address this fundamental limitation, we have developed light sheet theta microscopy (LSTM), which uniformly illuminates samples from the same side as the detection objective, thereby eliminating limits on lateral dimensions without sacrificing the imaging resolution, depth, and speed. We present a detailed characterization of LSTM, and demonstrate its complementary advantages over LSM for rapid high-resolution quantitative imaging of large intact samples with high uniform quality.
Conclusions
The reported LSTM approach is a significant step for the rapid high-resolution quantitative mapping of the structure and function of very large biological systems, such as a clarified thick coronal slab of human brain and uniformly expanded tissues, and also for rapid volumetric calcium imaging of highly motile animals, such as Hydra, undergoing non-isomorphic body shape changes.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Media Laboratory
McGovern Institute for Brain Research at MIT
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DOI of Published Version
https://doi.org/10.1186/s12915-018-0521-8
