Machine learning empowered coherent Raman imaging and analysis for biomedical applications
Abstract In situ and in vivo visualization and analysis of functional, endogenous biomolecules in living systems have generated a pivotal impact in our comprehension of biology and medicine. An increasingly adopted approach involves the utilization of molecular vibrational spectroscopy, which delive...
Saved in:
Main Authors: | Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Communications Engineering |
Online Access: | https://doi.org/10.1038/s44172-025-00345-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lipid Metabolic Heterogeneity during Early Embryogenesis Revealed by Hyper-3D Stimulated Raman Imaging
by: Jie Huang, et al.
Published: (2024-10-01) -
Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning.
by: Mohammad Neamul Kabir, et al.
Published: (2025-01-01) -
Non-Destructive Quantitative Analysis of Azodicarbonamide Additives in Wheat Flour by High-Throughput Raman Imaging
by: Xiaobin Wang, et al.
Published: (2021-10-01) -
Mathematics in Biomedical Imaging
by: Ming Jiang, et al.
Published: (2007-01-01) -
Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images
by: Soichiro Kuwayama, et al.
Published: (2019-01-01)