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13 March 2024 Multimodal metabolic imaging of kidney from diabetic patients
Lingyan Shi, Anthony A. Fung, Zhi Li, Sanjay Jain
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Proceedings Volume PC12836, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis; PC1283604 (2024) https://doi.org/10.1117/12.3006035
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Diabetic nephropathy, a common diabetes complication, affects millions globally and requires precise biomarker detection without added surgical risks. Our emphasis on label-free multi-modal imaging removes the need for sample preparation and destruction, allowing analysis of smaller biopsies. This approach offers a comprehensive and accurate assessment of structural and biochemical changes in 2D and 3D, improving our understanding of kidney disease using a single microscopy setup. Crucially, it remains compatible with conventional methods, providing a holistic view without requiring extra tissue availability. Preserving this flexibility allows us to uncover hidden insights by visualizing previously quantified data.
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Lingyan Shi, Anthony A. Fung, Zhi Li, and Sanjay Jain "Multimodal metabolic imaging of kidney from diabetic patients", Proc. SPIE PC12836, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis, PC1283604 (13 March 2024); https://doi.org/10.1117/12.3006035
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KEYWORDS
Kidney
Multimodal imaging
Confocal microscopy
Diagnostics
Diseases and disorders
Hyperspectral imaging
Nondestructive evaluation
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