Label-free imaging and quantitative analysis of lipofuscin aggregates in human brain tissue

Ayman Abdelhakeem; Shuaibin Chang; Anna Novoseltseva; Gulce Kureli; Ann C. Mckee; Bertrand Huber; Irving Bigio; David Boas; Hui Wang

doi:10.1117/12.3001928

13 March 2024 Label-free imaging and quantitative analysis of lipofuscin aggregates in human brain tissue

Ayman Abdelhakeem, Shuaibin Chang, Anna Novoseltseva, Gulce Kureli, Ann C. Mckee, Bertrand Huber, Irving Bigio, David Boas, Hui Wang

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Proceedings Volume PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; PC1285412 (2024) https://doi.org/10.1117/12.3001928
Event: SPIE BiOS, 2024, San Francisco, California, United States

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Abstract

Our study introduces a label-free imaging and quantitative analysis approach for investigating lipofuscin aggregates in human brain tissue. Leveraging the colocalization of lipofuscin with cell soma, our novel method accurately identifies and counts cells, especially large neurons. Achieving an impressive 92% accuracy at submicron resolution, our label-free approach outperforms the commonly used Nissl stain. We develop a robust segmentation technique for lipofuscin aggregates, revealing layered structures in the cortical gray matter, potentially associated with cell distribution. Furthermore, we validate our results using state-of-the-art techniques, including fluorescence lifetime imaging microscope and sub-micron resolution two photon imaging. Our findings contribute valuable insights into neurodegenerative diseases and hold promise for future diagnostic advancements.

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Ayman Abdelhakeem, Shuaibin Chang, Anna Novoseltseva, Gulce Kureli, Ann C. Mckee, Bertrand Huber, Irving Bigio, David Boas, and Hui Wang "Label-free imaging and quantitative analysis of lipofuscin aggregates in human brain tissue", Proc. SPIE PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC1285412 (13 March 2024); https://doi.org/10.1117/12.3001928

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