SARATOV FALL MEETING SFM 

© 2022 All Rights Reserved

Preliminary

Invited Lecture

  1. Breathomics using laser photo-acoustic spectroscopy and machine learning
    Yury Kistenev Tomsk State University, Tomsk, 634050, Russia
  2. 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

  1. 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
  2. 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
  3. 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
  4. 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

Oral Report

  1. ANALYSIS OF SPECTRAL CHARACTERISTICS OF COLLAGEN SOLUTIONS IN THZ SPECTRUM REGION
    Anastasia I.Knyazkova,1,2, Olga P. Cherkasova,1,3, Yuri V. Kistenev,1, Alexey V. Borisov,1 1 Tomsk State University, Tomsk, Russia, 2 Institute of Atmospheric Optics SB RAS, Tomsk, Russia, 3 Institute of Laser Physics SB RAS, Novosibirsk, Russia
  2. Fluorescent multimodal nanosensor of heavy metal ions based on carbon dots
    Olga E. Sarmanova, Kirill A. Laptinskiy, Galina N. Chugreeva, Sergey A. Burikov, Tatiana A. Dolenko Lomonosov Moscow State University, Department of Physics, Moscow, Russia
  3. Application of band-pass filters in terahertz time-domain spectroscopy to study the morphological picture of biological tissue
    Zakhar S. Kochnev, 1 Alexey V. Borisov, 1 1National Research Tomsk State University, Lenin Ave. 36, 634050, Tomsk, Russia
  4. Application of optical spectroscopy and artificial neural networks for monitoring the elimination of anticancer nanoagents from the body
    A.D. Kudryashov, O.E. Sarmanov, K.A. Laptinsky, S.A. Burikov, M. Yu. Khmeleva, A.A. Fedyanina, P.V. Golubtsov, T.A. Dolenko

Internet Report

  1. 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
  2. Vascular networks dataset generation used in deep learning methods for enhancement of photoacoustic images
    Shahriar Zeynali, 1 Amir Asadollahi, 1 Hamid Latifi, 1, 2 1 Laser and Plasma Research Institute, Shahid Beheshti University, Tehran, Iran 2 Department of Physics, Shahid Beheshti University, Tehran, Iran
  3. Possibilities of two-photon microscopy for analysis of fluorescent properties of elastin fibers of rats in vivo
    Anastasia I. Knyazkova1,2, Aliсe A. Samarinova 2, Viktor V. Nikolaev 2, Alexey V. Borisov 2, Yury V. Kistenev 2,3 1V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk 634055, Russia 2Tomsk State University, Tomsk 634050, Russia 3Siberian State Medical University, Tomsk 634050, Russia
  4. 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

Poster

  1. INCREASING RESOLUTION OF A NOISED GAS-MIXTURE ABSORPTION SPECTRA BY NEURAL NETWORKS AND DATA PREPROCESSING METHODS
    V.E. Skiba 1, V.V. Prischepa 1, D.A. Vrazhnov 1,2 1 Tomsk State University, Leninа Ave., 36, 634050, Tomsk, Russian Federation; 2 Institute of Strength Physics and Materials Science of SB RAS, Academichesky Ave., 2/4, 634055, Tomsk, Russian Federation

Internet Poster

  1. INCREASING RESOLUTION OF A NOISED GAS-MIXTURE ABSORPTION SPECTRA BY NEURAL NETWORKS AND DATA PREPROCESSING METHODS
    V.E. Skiba 1, V.V. Prischepa 1, D.A. Vrazhnov 1,2 1 Tomsk State University, Leninа Ave., 36, 634050, Tomsk, Russian Federation; 2 V.E. Zuev Institute of Atmospheric Optics, Siberian Branch of the RAS, 1, Academician Zuev square, 634055 Tomsk, Russia
  2. RESEARCH OF EXOSOME FLUORESCENCE ISOLATED FROM BLOOD PLASMA IN PATIENTS WITH COLORECTAL POLYPS AND COLORECTAL CANCER
    Olga A. Zakharova, 1 Irina V. Kondakova, 2 Natalya V. Yunusova, 2 Alexey V. Borisov 1 1 Tomsk State University, Tomsk, Russia 2 Cancer research institute, Tomsk National Research Medical Center of the Russian Academy of sciences, Tomsk, Russia
  3. Comparison of topical low-intensity photodynamic therapy using 5-aminolevulinic acid and methylene blue in wound healing by multiphoton microscopy in-vivo
    Zuhayri H.1, Nikolaev V.V.1,2, Lepekhina T.B.1, Zakharova O.A.1, Knyazkova A.I.1,2, Borisov A.V.1, Kistenev Yu.V.1, N.A Krivova 1 1Tomsk State University, Tomsk, Russia, 2Institute of Atmospheric Optics SB RAS, Tomsk, Russia
  4. Identification and Localization of Bacteria at Single - Cell Level in Cancer Cell using Raman Spectroscopy Combined with Multivariate Data Analysis
    Pooja Manik Badgujar1, Kuan-Ting Wu1, Yu-Chung Lin1,2, Chia-Liang Cheng 1,* 1Department of Physics, National Dong Hwa University, Hualien 97401, Taiwan 2Institute of Physics, Academia Sinica, Taipei 115201, Taiwan
  5. Monitoring EEG of sleep
    V.B. Ageev, Blohina I.A, I.V. Fedosov, O.V. Semyachkina-Glushkovskaya
  6. Application of deep learning and genetic algorithms to the solution of absorbance spectroscopy component analysis of gas mixtures problem
    Vladimir V. Prischepa,1 Victor E. Skiba,1 Denis A. Vrazhnov,1,2 1 Tomsk State University, Tomsk, Russia 2 V.E. Zuev Institute of Atmospheric Optics, Siberian Branch of the RAS, Tomsk, Russia
  7. 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
  8. 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