Scalable volumetric vibrational imaging of cells and tissues (Conference Presentation)

Li-En Lin; Kun Miao; Chenxi Qian; Lu Wei

doi:10.1117/12.2648522

15 March 2023 Scalable volumetric vibrational imaging of cells and tissues (Conference Presentation)

Li-En Lin, Kun Miao, Chenxi Qian, Lu Wei

Proceedings Volume PC12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023; PC1239215 (2023) https://doi.org/10.1117/12.2648522
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

High-resolution optical imaging techniques allowed the visualization of nanoscale biological structures and molecules. Current fluorescence-based super-resolution techniques are limited in throughput and quantification. We developed a high-resolution versatile imaging modality, called Vibrational Imaging of Swelled Tissues and Analysis (VISTA), based on a sample-expansion vibrational imaging strategy. We achieve label-free super-resolution imaging, and successfully used a U-net convolutional network to predict specific cellular features. We further applied VISTA to investigate protein aggregations in biological samples, including aggregates formed in Huntington’s disease and Alzheimer’s disease. This precise and multiplex high-resolution imaging modality opens new avenues for versatile biomedical studies.

Conference Presentation

Citation Download Citation

Li-En Lin, Kun Miao, Chenxi Qian, and Lu Wei "Scalable volumetric vibrational imaging of cells and tissues (Conference Presentation)", Proc. SPIE PC12392, Advanced Chemical Microscopy for Life Science and Translational Medicine 2023, PC1239215 (15 March 2023); https://doi.org/10.1117/12.2648522

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available