Pocket CLARITY enables distortion-mitigated cardiac microstructural tissue characterization of large-scale specimens
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fcvm-09-1037500.pdf
Description
Published version
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5.69 MB
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Checksum (MD5)
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Author(s)
Kim, Joan JH
Parajuli, Shestruma
Sinha, Aman
Mahamdeh, Mohammed
van den Boomen, Maaike
Coll-Font, Jaume
Chen, Lily Shi
Fan, Yiling
Eder, Robert A
Phipps, Kellie
Date Issued
November 14, 2022
Journal
Frontiers in Cardiovascular Medicine
Publisher
Frontiers Media SA
Citation
Kim JJH, Parajuli S, Sinha A, Mahamdeh M, van den Boomen M, Coll-Font J, Chen LS, Fan Y, Eder RA, Phipps K, Yuan S and Nguyen C (2022) Pocket CLARITY enables distortion-mitigated cardiac microstructural tissue characterization of large-scale specimens. Front. Cardiovasc. Med. 9:1037500.
Version
Final published version
Abstract
Molecular phenotyping by imaging of intact tissues has been used to reveal 3D molecular and structural coherence in tissue samples using tissue clearing techniques. However, clearing and imaging of cardiac tissue remains challenging for large-scale (>100 mm3) specimens due to sample distortion. Thus, directly assessing tissue microstructural geometric properties confounded by distortion such as cardiac helicity has been limited. To combat sample distortion, we developed a passive CLARITY technique (Pocket CLARITY) that utilizes a permeable cotton mesh pocket to encapsulate the sample to clear large-scale cardiac swine samples with minimal tissue deformation and protein loss. Combined with light sheet auto-fluorescent and scattering microscopy, Pocket CLARITY enabled the characterization of myocardial microstructural helicity of cardiac tissue from control, heart failure, and myocardial infarction in swine. Pocket CLARITY revealed with high fidelity that transmural microstructural helicity of the heart is significantly depressed in cardiovascular disease (CVD), thereby revealing new insights at the tissue level associated with impaired cardiac function.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Division of Health Sciences and Technology.
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DOI of Published Version
https://doi.org/10.3389/fcvm.2022.1037500
