About

Santosh Paidi is a postdoctoral scholar in the School of Optometry at University of California, Berkeley. His ongoing research efforts in the labs of Professors Na Ji and Xiaohua Gong are directed towards the development of optical imaging systems for in vivo ocular imaging of mouse genetic models of eye diseases including cataracts and retinal degenerations. During his Ph.D. in Professor Ishan Barman’s lab at Johns Hopkins University, his research focused on the application of Raman spectroscopy and multivariate data analysis to develop novel quantitative approaches for addressing unmet needs in the molecular study of cancers. His work in these areas has resulted in over 20 publications and recognized by several awards.

Education and CV

Click here for detailed Curriculum Vitae

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  • Ph.D. in Mechanical Engineering — Advisor: Dr. Ishan Barman, Johns Hopkins University, USA (2014 - 2020)
  • M.S.E. in Mechanical Engineering — Johns Hopkins University, USA (2017)
  • B.Tech. in Mechanical Engineering with a minor in Aerospace Engineering — Indian Institute of Technology Bombay, India (2014)

Selected Research Projects

Label-free Optical Phenotyping for Identifying Metastatic Potential of Cancer Cells

Our recent study utilized both the morphological and molecular information provided by 3D optical diffraction tomography and Raman spectroscopy, respectively, to show a label-free route for optical phenotyping of cancer cells at single-cell resolution. We used an isogenic panel of cell lines derived from MDA-MB-231 breast cancer cells that vary in their metastatic potential and demonstrated that 3D refractive index tomograms can capture subtle morphological differences among the parental, circulating tumor cells, and lung metastatic cells. By leveraging its molecular specificity, we demonstrated that coarse Raman microscopy is capable of rapidly mapping a sufficient number of cells for training a random forest classifier that can accurately predict the metastatic potential of cells at a single- cell level. Overall, we showed that coarse Raman mapping can substantially reduce measurement time and enable the acquisition of reasonably large training datasets for label-free single-cell analysis.
Paidi SK et al., Biosensors and Bioelectronics, 2020

Raman Spectroscopy for Prediction of Response to Radiation Therapy

Our recent label-free spontaneous Raman spectroscopy study using lung tumor and head and neck tumor xenografts of known radiation sensitivity in mice has revealed microenvironmental changes induced by exposure to clinically relevant doses of radiation to sensitive and resistant variants. Changes in collagen, glycogen and lipid content, as probed by their unique Raman spectral signatures, facilitate the development of a decision algorithm, which accurately differentiates radiosensitive tumors prior to and following radiation therapy.
Paidi SK et al., Cancer Research, 2019

Label-Free Raman Spectroscopy Detects Stromal Adaptations in Premetastatic Lungs Primed by Breast Cancer

Our Raman spectroscopic investigation of pre-metastatic lungs of mice bearing breast tumor xenografts of varying metastatic potential and control mice revealed significant differences in the vibrational features of the collagenous stroma as well as proteoglycans in pre-metastatic mouse lungs, a favorable site for spontaneous dissemination of breast cancer, prior to tumor cell seeding. The identified spectral markers accurately classified the metastatic potential of the primary tumor based on the compositional changes in lungs. Our data suggest that stromal changes detected in the pre-metastatic niche spectroscopically may present promising markers for objective evaluation of risk of metastasis to distant sites prior to tumor cell seeding.
Paidi SK et al., Cancer Research, 2017

Awards

  1. AACR Scholar-in-Training Award 2022
  2. Barbara Stull Graduate Student Award 2019
  3. Tony B. Academic Travel Award 2019 and 2018
  4. Coblentz Student Award 2018
  5. SLAS Graduate Education Fellowship Grant 2018
  6. SPIE Optics and Photonics Education Scholarship 2018
  7. Tomas A. Hirschfeld Scholar Award 2017
  8. Molecular Medicine Tri-Conference Student Fellowship 2015
  9. Whiting School Doctoral Fellowship at JHU 2014
  10. Mechanical Engineering Departmental Fellowship at JHU 2014
  11. Undergraduate Research Award at IIT Bombay 2013
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Publications

Google Scholar link for most updated list with links

  1. Paidi SK*, Troncoso JR*, Harper MG, Liu Z, Nguyen KG, Ravindranathan S, Ivers JD, Zaharoff DA, Rajaram N, Barman I. "Raman spectroscopy reveals phenotype switches in breast cancer metastasis", bioRxiv, 2021.
  2. Paidi SK*, Troncoso JR*, Raj P, Diaz PM, Ivers JD, Lee DE, Avaritt NL, Gies AJ, Quick CM, Byrum SD, Tackett AJ Rajaram N, Barman I. "Raman spectroscopy and machine learning reveals early tumor microenvironmental changes induced By immunotherapy", Cancer Research, 81(22), 5745–55, 2021.
  3. Paidi SK*, Shah V*, Raj P, Glunde K, Pandey R, Barman I. "Coarse Raman and optical diffraction tomographic imaging enable label-free phenotyping of isogenic breast cancer cells of varying metastatic potential", Biosensors and Bioelectronics, 2021 175, 112863, 2021.
  4. Paidi SK*, Raj P*, Bordett R, Zhang C, Karandikar SH, Pandey R, Barman I. "Raman and quantitative phase imaging allow morphomolecular recognition of malignancy and stages of B-cell acute lymphoblastic leukemia", Biosensors and Bioelectronics, 190, 113403, 2021.
  5. Tanwar S, Paidi SK, Prasad R, Pandey R, Barman I. “Advancing Raman Spectroscopy from Research to Clinic: Translational Potential and Challenges”, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 260, 1199572, 2021.
  6. Ahmed I, Khan MS, Paidi SK, Liu Z, Zhang C, Liu Y, Baloch GA, Law AWL, Zhang Y, Barman I, Lau C, "Laser induced breakdown spectroscopy with machine learning reveals lithium-induced electrolyte imbalance in the kidneys”, Journal of Pharmaceutical and Biomedical Analysis 194, 113805, 2021.
  7. Ahmed I, Ma V, Liu Y, Khan MS, Liu Z, Zhang C, Paidi SK, Manno FAM, Amjad N, Manno SHC, Ahmed R, Law, AWL, Ali A, Raza F, Zhang Y, Cho WCS, Barman I, Alda M, Bergink V, Lau C."Lithium from breast-milk inhibits thyroid iodine uptake and hormone production, which are remedied by maternal iodine supplementation", Bipolar Disorders, 23(6), 615-25, 2021.
  8. Paidi SK, Pandey R, Barman I. "Emerging trends in biomedical imaging and disease diagnosis using Raman spectroscopy", Molecular and Laser Spectroscopy Volume 2, 623-52, 2020.
  9. Paidi SK, Pandey R, Barman I. "Medical applications of Raman spectroscopy", Encyclopedia of Analytical Chemistry, 1-21, 2020.
  10. Ayyappan V*, Chang V*, Zhang C*, Paidi SK*, Bordett R, Liang T, Barman B, Pandey R. "Identification and staging of B-cell acute lymphoblastic leukemia using quantitative phase imaging and machine learning", ACS Sensors, 5(10), 3281–89, 2020.
  11. Ming Li, Lin H*,Paidi SK*, Mesyngier N*, Preheim S, Barman I. "A fluorescent and surface-enhanced Raman spectroscopic dual-modal aptasensor for sensitive detection of cyanotoxins", ACS Sensors, 5(5), 1419-26, 2020.
  12. Paidi SK*(*equal contributions), Diaz PM*, Dadgar S*, Jenkins SV, Quick CM, Griffin RJ, Dings RPM, Rajaram N, Barman I. "Label-free Raman spectroscopy reveals tumor microenvironmental signatures of radiation resistance", Cancer Research, 79(8), 2054-64, 2019. (See media section for related press coverage)
  13. Xu W, Paidi SK, Qin Z, Huang Q, Yu CH, Pagaduan J, Buehler MJ, Barman I, Gracias DH. "Self-folding hybrid graphene skin for 3D biosensing", Nano Letters, 19(3), 1409-17, 2019.
  14. Li M, Paidi SK, Sakowski E, Preheim S, Barman I. "Ultrasensitive Detection of Hepatotoxic Microcystin Production from Cyanobacteria Using Surface-Enhanced Raman Scattering (SERS) Immunosensor", ACS Sensors, 4(5), 1203-10, 2019.
  15. Rizwan A*, Paidi SK*, Zheng C*, Cheng M, Fan Z, Barman I, Glunde K. "Mapping the genetic basis of breast microcalcifications and their role in metastasis", Scientific Reports, 8:11067, 2018.
  16. Paidi SK*, Rizwan A*, Zheng C*, Cheng M, Glunde K, Barman I. "Label-free Raman spectroscopy detects stromal adaptations in pre-metastatic lungs primed by breast cancer", Cancer Research, 77(2), 247-56, 2017.
  17. Pandey R, Paidi SK, Valdez TA, Zhang C, Spegazzini N, Dasari RR, Barman I. "Noninvasive monitoring of blood glucose with Raman spectroscopy", Accounts of Chemical Research, 50(2), 264-72, 2017.
  18. Siddhanta S, Paidi SK, Bushley K, Prasad R, Barman I. "Exploring morphological and biochemical linkages in fungal growth with label-free light sheet microscopy and Raman spectroscopy", ChemPhysChem, 18(1), 72-8, 2017. (Journal back cover)
  19. Jin Q*, Li M*, Polat B, Paidi SK, Dai A, Zhang A, Padaguan J, Barman I, Gracias DH. "Mechanical trap surface enhanced Raman spectroscopy (MTSERS) for 3D surface molecular imaging of single live cells," Angewandte Chemie International Edition, 56(14), 3822-26, 2017.
  20. Paidi SK, Siddhanta S, Strouse R, McGivney JB, Larkin C, Barman I. "Rapid identification of biotherapeutics with label-free Raman spectroscopy", Analytical Chemistry, 88(8), 4361-8, 2016.
  21. Myakalwar AK, Anubham SK, Paidi SK, Barman I, Gundawar MK. "Real-time fingerprinting of structural isomers using laser induced breakdown spectroscopy", Analyst, 141(10), 3077-83, 2016.
  22. Zheng C*, Shao W*, Paidi SK, Han B, Fu T, Wu D, Bi L, Xu W, Fan Z, Barman I. "Pursuing shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) for concomitant detection of breast lesions and microcalcifications", Nanoscale, 7, 16960-8, 2015.
  23. Pandey R*, Paidi SK*, Kang JW, Spegazzini N, Dasari RR, Valdez TA, Barman I. "Discerning the differential molecular pathology of proliferative middle ear lesions using Raman spectroscopy", Scientific Reports, 5:13305, 2015.
  24. Paidi SK, Bhavaraju A, Akram M, Kumar S. "Effect of N2/CO2 dilution on Laminar Burning Velocity of H2-Air Mixtures at High Temperatures", International Journal of Hydrogen Energy, 38(31), 13812-21, 2013.
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Media Coverage

  1. Raman spectroscopy shows how immunotherapy changes tumours, Spectroscopy Europe, 2021.
  2. Raman spectroscopy: new strategy of evaluating metastatic risk in breast cancer, AzoOptics, 2021.
  3. Researchers pioneer method to examine how immunotherapy changes tumors, The Hub at Johns Hopkins, 2021.
  4. Imaging tool helps doctors predict how cancer will respond to radiation, Inside Science News Service, 2019.
  5. Raman spectroscopy predicts radiation resistance, Physics World, 2019.
  6. Detecting differences between radiation-sensitive and resistant tumors, Technology Networks, 2019.
  7. Imaging technique finds differences between radiation-sensitive and resistant tumors, Science Daily, 2019.
  8. Shedding light on resistance to radiation therapy, The Hub at Johns Hopkins, 2019.
  9. Method may predict if radiation will work on tumors, Futurity: Research News, 2019.
  10. Shedding light literally on resistance to radiation therapy, Medical Xpress, 2019.
  11. 2018 SLAS Graduate Education Fellowship Grant recipient fosters SERS diagnostic assay concept, SLAS Electronic Laboratory Neighborhood, 2018.
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Contact

For more information about research topics, reasonable requests for author-copies of specific publications and talk invitations, please contact Santosh directly at the email below.

Email: paidi [at] berkeley.edu