TRD 3: RAMAN SPECTROSCOPY AND IMAGING Investigators: R.R. Dasari (3.1) [co-lead]; I. Barman (3.2); C.L. Evans (3.3) [co-lead] Raman technologies offer the ability to detect, quantify, and visualize molecular species with high sensitivity and high resolution via their unique vibrational fingerprints, enabling a host of biomedical applications ranging from bench to the bedside. The LBRC has been a leader in Raman technology development with contributions such as: blood glucose sensing toolkits, chemometric algorithms, and clinical Raman spectroscopy systems. In this next cycle, the LBRC pushes technologies in three exciting areas: developing a high-speed multimodal confocal Raman and phase microscopy with enhanced resolution to enhance cellular mechanobiology studies (Aim 3.1), developing technologies for probing cellular nanomechanics and the accompanying biological responses (Aim 3.2), and developing a portable, robust clinical coherent Raman imaging system for the assessment of melanoma and other diseases of the skin in vivo (Aim 3.3). The collaboration with Dr. Kato investigates how sickle red cells aging affects their mechanical properties using Raman imaging of long term glycemic markers to quantify cell age and phase imaging of membrane fluctuations to quantify cell mechanics (CP2). The collaboration with Dr. Raman seeks to dissect organ-specific differences in metastatic breast cancer by determining microenvironment induced biophysical and molecular adaptations (CP5). This collaborative effort will offer mechanistic insights into metastasis organotropism, a critical step towards discovering optimal treatment strategies for specific metastatic lesions to improve overall survival. The ongoing collaborative project with Dr. Fisher will translate current findings on the oncogenic nature of the natural pigment pheomelanin in animal models to human studies focused on the identification and therapy of amelanotic melanomas (CP6).

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015871-34
Application #
9985831
Study Section
Special Emphasis Panel (ZEB1)
Project Start
1997-06-01
Project End
2022-05-31
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
34
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Jin, Di; Zhou, Renjie; Yaqoob, Zahid et al. (2018) Dynamic spatial filtering using a digital micromirror device for high-speed optical diffraction tomography. Opt Express 26:428-437
Yannas, Ioannis V; Tzeranis, Dimitrios S; So, Peter T C (2018) Regeneration mechanism for skin and peripheral nerves clarified at the organ and molecular scales. Curr Opin Biomed Eng 6:1-7
Hosseini, Poorya; Jin, Di; Yaqoob, Zahid et al. (2018) Single-shot dual-wavelength interferometric microscopy. Methods 136:35-39
Carr, Jessica A; Aellen, Marianne; Franke, Daniel et al. (2018) Absorption by water increases fluorescence image contrast of biological tissue in the shortwave infrared. Proc Natl Acad Sci U S A 115:9080-9085
Jonas, Oliver; Kang, Jeon Woong; Singh, Surya P et al. (2018) In vivo detection of drug-induced apoptosis in tumors using Raman spectroscopy. Analyst 143:4836-4839
Bartelt, Alexander; Widenmaier, Scott B; Schlein, Christian et al. (2018) Brown adipose tissue thermogenic adaptation requires Nrf1-mediated proteasomal activity. Nat Med 24:292-303
Ahmad, Azeem; Dubey, Vishesh; Singh, Vijay Raj et al. (2018) Quantitative phase microscopy of red blood cells during planar trapping and propulsion. Lab Chip 18:3025-3036
Singh, Surya P; Mukherjee, Soumavo; Galindo, Luis H et al. (2018) Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing. Anal Bioanal Chem 410:6469-6475
Wadduwage, Dushan N; Kay, Jennifer; Singh, Vijay Raj et al. (2018) Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice. Sci Rep 8:12108
Zhang, Chi; Winnard Jr, Paul T; Dasari, Sidarth et al. (2018) Label-free Raman spectroscopy provides early determination and precise localization of breast cancer-colonized bone alterations. Chem Sci 9:743-753

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