A cross-scale multimodal imaging platform for information-rich quantitative spatial biology

Yang Liu; Hongqiang Ma; Maomao Chen; Jianquan Xu

doi:10.1117/12.3008508

13 March 2024 A cross-scale multimodal imaging platform for information-rich quantitative spatial biology

Yang Liu, Hongqiang Ma, Maomao Chen, Jianquan Xu

Proceedings Volume PC12852, Quantitative Phase Imaging X; PC128520M (2024) https://doi.org/10.1117/12.3008508
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Spatial biology provides unprecedented insights into cellular function within microenvironments, crucial for precision medicine. Yet, many commercial imaging systems, largely limited to fluorescence imaging of fixed samples, miss out on intrinsic cellular dynamics and are laborious with extended data acquisition, limiting their widespread use. We introduce a multiscale multimodal imaging platform that integrates quantitative phase, hyper-plex fluorescence imaging, and vast field of view at sub-micron precision. This platform also co-registers molecular-scale super-resolution images, linking molecular data with mesoscale cellular contexts. It can capture dynamic cell morphologies instantly, revealing cell states and molecular intricacies. With macro-scale optics and an astronomy camera, combined with an automated processing pipeline, our system delivers high-resolution imaging across mesoscale. We demonstrated its value in studying cancer cell resistance to chemotherapy, embracing a multi-scale, multimodal approach. Ultimately, this tool will enable profound insights into cell environment, heterogeneity, morphological changes, and molecular information across vast cell population.

Conference Presentation

Citation Download Citation

Yang Liu, Hongqiang Ma, Maomao Chen, and Jianquan Xu "A cross-scale multimodal imaging platform for information-rich quantitative spatial biology", Proc. SPIE PC12852, Quantitative Phase Imaging X, PC128520M (13 March 2024); https://doi.org/10.1117/12.3008508

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