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8 October 2024 In situ compositional profiling for endoplasmic reticulum by super-resolution-guided stimulated Raman scattering imaging
Yihui Zhou, Yongqing Zhang, Ninghui Shao, Zhe Yu Zhang, Liangyi Chen, Zhuo-Xian Meng, Delong Zhang, Hyeon Jeong Lee
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Proceedings Volume 13271, Third Conference on Biomedical Photonics and Cross-Fusion (BPC 2024); 132710D (2024) https://doi.org/10.1117/12.3039726
Event: Third Conference on Biomedical Photonics and Cross-Fusion (BPC 2024), 2024, Shanghai, China
Abstract
The endoplasmic reticulum (ER) is an organelle consisting of a network of membranous structures essential for various cellular activities, making its homeostasis critical for proper cell function. The composition of its membrane can be easily affected by various cellular stressors, triggering ER stress response. Therefore, conducting a detailed structural and compositional analysis of ER is crucial. However, due to resolution limits, analyzing the ER composition in situ remains difficult. Here, we propose a dual-modality imaging and analysis method integrating stimulated Raman scattering (SRS) and structured illumination microscopy (SIM) for imaging the lipid and protein contents of ER structures. With super-resolved structural guidance provided by SIM, the protein/lipid ratio was quantified for ER using multispectral SRS imaging. The spatial mapping of ER compositions in a single cell revealed subcellular diversity in the protein and lipid ratios in the ER structures, which significantly altered under ER stress.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yihui Zhou, Yongqing Zhang, Ninghui Shao, Zhe Yu Zhang, Liangyi Chen, Zhuo-Xian Meng, Delong Zhang, and Hyeon Jeong Lee "In situ compositional profiling for endoplasmic reticulum by super-resolution-guided stimulated Raman scattering imaging", Proc. SPIE 13271, Third Conference on Biomedical Photonics and Cross-Fusion (BPC 2024), 132710D (8 October 2024); https://doi.org/10.1117/12.3039726
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KEYWORDS
Proteins
Raman scattering
Biological imaging
Electron microscopy
Image analysis
Imaging systems
Profiling
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