Dr. Bharanidharan Ganesan Profile

Dr. Bharanidharan Ganesan

at Anna Univ Chennai

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Author

Publications (4)

Proceedings Article | 13 March 2024 Poster + Paper

Raman and fluorescence spectroscopic characterization of pteridines in the blood of normal subjects and oral cancer patients

Elumalai Brindha, Ramu Rajasekaran, Ganesan Bharanidharan, Biniyam Girma Manaye, Prakasarao Aruna, Singaravelu Ganesan

Proceedings Volume 12836, 128360I (2024) https://doi.org/10.1117/12.3010048

KEYWORDS: Cancer, Raman spectroscopy, Fluorescence, Blood, Plasma, Biological samples, Spectroscopy, Fluorescence spectroscopy, Diseases and disorders, Cancer detection

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Proceedings Article | 13 March 2024 Poster + Paper

Optical characterization of riboflavin as a potential biomarker in the diagnosis of cervical cancer

Ramu Rajasekaran, Elumalai Brindha, Ganesan Bharanidharan, Biniyam Girma Manaye, Prakasarao Aruna, Singaravelu Ganesan

Proceedings Volume 12836, 128360H (2024) https://doi.org/10.1117/12.3010046

KEYWORDS: Cervical cancer, Fluorescence, Cancer, Fluorophores, Principal component analysis, Fluorescence intensity, Emission wavelengths, Statistical analysis, Mode conditioning cables, Matrices

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Proceedings Article | 5 March 2021 Paper

Quantification of tryptophan in different layers of oral cancer tissue using fluorescence polarization technique

Einstein Gnanatheepam, Anandh Sundaramoorthy, Kanniyappan Udayakumar, Dornadula Koteeswaran, Singaravelu Ganesan, Aruna Prakasarao, Ganesan Singaravelu

Proceedings Volume 11636, 116360G (2021) https://doi.org/10.1117/12.2583352

KEYWORDS: Cancer, Polarization, Tissues, Luminescence, Tissue optics, Statistical analysis, Multiple scattering, Light scattering, Fluorescence spectroscopy, Diagnostics

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Proceedings Article | 5 March 2021 Paper

Discrimination of urinary tract infection bacteria using redox imaging

Anandh Sundaramoorthy, Einstein Gnanatheepam, Kailasha Purushothaman, Aruna Prakasa Rao, Bharanidaran Ganesan, Ganesan Singaravelu

Proceedings Volume 11648, 116480L (2021) https://doi.org/10.1117/12.2583092

KEYWORDS: Bacteria, Machine learning, Luminescence, Multiphoton fluorescence microscopy, Deconvolution, Biological research

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