TRD 2. QUANTITATIVE PHASE MICROSCOPY AND SPECTROSCOPY TECHNIQUES Investigators: Z. Yaqoob (2.1, 2.2, 2.3) [Lead], P. So (2.1, 2.2, 2.3); C.L. Evans (2.3) Collaborative Projects: G. Kato, U. Pittsburgh (CP2); J. Lammerding, Cornell (CP3); E. Boyden, MIT (CP4); Raman, John Hopkins (CP5); D. Fisher, MGH (CP6); P. Krauledat, PNP Research (CP7); P. Campagnola (CP8). PROJECT SUMMARY: The LBRC has been one of the leaders in interferometric imaging, including wide-field quantitative phase microscopy (QPM) and tomographic phase microscopy (TPM), with applications in label-free quantification of cellular morphology, biomechanics, and cell mass/cycle control. During the next cycle, the LBRC will push this technology forward in three fronts. First, the LBRC has successfully developed novel reflection mode QPMs based on temporal and spatial coherence. While these systems show promise to elucidate the biomechanical changes in red blood cells (RBCs), they do not have the necessary depth resolution and sensitivity to study eukaryotic cells. Given that nuclear rheology is important in diseases such as progeria and in cancer metastasis (CP3,5), we push to develop a next generation reflection-mode QPM to quantify biomechanical factors in diseases of nucleated cells (TRD2.1). Second, we have developed several generations of TPMs that provide exquisite 3D maps of the cellular refractive index (RI) distribution, but they offer low throughput and suffer from the ?missing cone? problem. Given the need to study shape variations during RBC sickling (CP2) and cancer cell migration (CP5,8), we push to explore novel tomographic reconstruction based on reflection mode QPM (TRD2.2). Third, while our interferometric imaging work has been mostly label-free, its usage is partly limited by its lack of molecular specificity. As a completely new direction, driven by the need to study (a) sickle cell disease requiring absorption contrast (CRP2), (b) melanomagenesis mechanisms requiring absorption and Raman contrast (CRP6), and (c) binding of cancer antigens to immune cells (CRP7), we push to explore the possibility of wide-field interferometric imaging with molecular specific contrast mechanisms (TRD2.3).

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015871-34
Application #
9985830
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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