Machine learning in analysis of blood Raman spectra O. Cherkasova1,2, A. Mankova3, D. Vrazhnov4,5, Y. Kistenev5,6
1Institute of Laser Physics, Siberian Branch of the RAS, Novosibirsk, Russia
2Institute on Laser and Information Technologies - Branch of the Federal Scientific Research Centre "Crystallography and Photonics" of RAS, Shatura, Moscow Region, Russia
3Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia,
4V.E. Zuev Institute of Atmospheric optics, Siberian Branch of the RAS, Tomsk, Russia
5Tomsk State University, Tomsk, Russia
6Siberian State Medical University, Tomsk, Russia
Internet Invited Lecture
Intramolecular H-bond dynamics investigated by THz high-resolution spectroscopy Jonas Bruckhuisen 1 , Guillaume Dhont 1 , Anthony Roucou 1 , Atef Jabri 1, Hamdi Bayoudh 1, Thi Thanh Tran 1, Manuel Goubet 2 , Marie-Aline Martin-Drumel 3 and Arnaud Cuisset 1,*
1 LPCA, Laboratoire de Physico-Chimie de l’Atmosphère, Université du Littoral Côte d’Opale, F-59140 Dunkerque, France
2 PhLAM, Physique des Lasers Atomes et Molécules, Université de Lille, CNRS,
F-59000 Lille, France
3 Institut des Sciences Moléculaires d’Orsay, Université Paris-Saclay, CNRS, F-91405 Orsay, France
Fluorescence Guided Procedures and Photodynamic Therapy in Neurosurgery R. Sroka 1,2, H. Stepp 1,2 , N. Markwardt 1, C. Heckl 1, M. Aumiller 1, A. Rühm 1,2
1 Laser-Forschungslabor in LIFE Center, University Hospital, LMU-Munich, Germany
2 Department of Urology, University Hospital, LMU-Munich, Germany
Disease diagnosis by FTIR spectroscopy Denise M. Zezell 1*, Pedro A.A. Castro 1, Matheus del Valle 1, Kleber Stancari 1, Moises O. Santos1,2
1 Center for Lasers and Applications, Nuclear and Energy Research Institute IPEN/CNEN, Sao Paulo-SP, Brazil
2 Amazonas State University UEA, Manaus-AM, Brazil
Four Channel based Stokes-Mueller Polarimetry for Tissue Characterization Integrated with Machine Learning Spandana K U1, Sindhoora Kaniyala Melanthota1, Raghavendra U2, Sharada Rai3, K K Mahato1, Nirmal Mazumder1,*
1Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India – 576104
2Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India -576104
3Department of Pathology, Kasturba Medical College, Mangalore, Karnataka, India – 575001
Method for informative feature selection on a model IR spectra Denis A. Vrazhnov, 1,2 Tatyana V. Kabanova, 3, Tatyana E. Malakhova, 3, Alexey V. Borisov, 2, Yuri V. Kistenev, 2
1 V.E. Zuev Institute of Atmospheric optics SBRAS, Tomsk, Russia,
2 Tomsk State University, Laboratory of biophotonics, Tomsk, Russia
3 Tomsk State University, Institute of Applied Mathematics and Computer Science, Tomsk, Russia
Machine learning assisted Raman microspectroscopy for objective discrimination of breast cancer cells from normal mammary epithelial cells Hemanth Noothalapati,1,2 Keita Iwasaki,3 Ajinkya Anjikar,3 Asuka Araki,4 Riruke Maruyama,4 Tatsuyuki Yamamoto,1,2 1 Faculty of Life and Environmental Sciences, Shimane University, Japan, 2 Raman Project Center for Medical and Biological Applications, Shimane University, Japan, 3 The United Graduate School of Agricultural Sciences, Tottori University, Japan, 4 Department of Organ Pathology, Faculty of Medicine, Shimane University, Japan
Combining FTIR spectroscopy with multivariate chemoinformatic analysis for rapid detection of adulteration in coconut oil Keita Iwasaki,1 ,# Soumyabrata Banik,2 ,# Hemanth Noothalapati,3 ,4 ,* Tatsuyuki Yamamoto,3 ,4 Sneha Sunil Chavan,5 ,* Deepak Gupta,5 ,* Nirmal Mazumder,2 ,*
1 The United Graduate School of Agricultural Sciences, Tottori University, Tottori, Japan 2 Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India 3 Faculty of Life and Environmental Sciences, Shimane University, Shimane, Japan 4 Raman Project Center for Medical and Biological Applications, Shimane University, Shimane, Japan 5 Marico India Limited, Mumbai, India
#equal contribution *corresponding authors
Classification and Grading of Squamous Cell Carcinoma Tissue Images Using Machine Learning Sindhoora K M1, Spandana K U1, Ragahvendra U2, Sharada Rai3, Raghu Radhakrishnan4, K K Mahato1, Nirmal Mazumder1, *
1Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India – 576104
2Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India -576104
3Department of Pathology, Kasturba Medical College, Mangalore, Karnataka, India – 575001
4Department of Oral Pathology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, India-576104
*Email: nirmal.mazumder@manipal.edu