TRD 1: FLUORESCENCE SPECTROSCOPY AND MICROSCOPY TECHNIQUES Investigators: P. So (1.1, 1.2) [lead]; M. Bawendi (1.2); G. Schlau-cohen (1.3) Collaborative Projects: Jain (CP1), Boyden (CP4), Campagnola (CP8), Coleman (CP9) Project Summary: Fluorescence spectroscopy and imaging are key techniques in the repertoire of the biomedical research community. In the LBRC, the investigators leverage their expertise in precision spectroscopy, contrast agent development, and coherent spatial and temporal control of ultrafast pulses to develop cutting-edge technologies for analyte-specific investigation of biological systems, from proteins to whole organisms. This fluorescence-based TRD builds upon 3D light sculpting techniques and short-wave infrared (SWIR) technologies developed in the current cycle with three exciting new directions: high-throughput deep SWIR imaging (TRD1.1), high-throughput, super-resolution 3D imaging (TRD1.2), and the nanometer- scale study of protein motions (TRD1.3). These directions are motivated by LBRC collaborations. Pushed by the study of cancer biology inside thick solid tumors in vivo, especially for monitoring dynamic events like blood flow and variations in oxygenation (CP1), TRD1.1 seeks to optimize both imaging speed and depth by combining patterned two-photon temporally focused wide-field excitation with compressive-sensing algorithms to image ultra-bright quantum dots (TRD4). Pushed also by Dr. Boyden's work to map the connection diagram of the brain (CP4), which in turn requires high-throughput identification of synaptic clefts at 50 nm resolution throughout a 0.5 cm3 volume. Based on our expertise in structured illumination (SI) and point spread function (PSF) engineering, TRD1.2 seeks to improve super-resolution imaging speed to approach 1G voxel/sec in order to map the whole brain within ~1 year. The same super-resolution approach is employed for high- throughput 3D microfabrication of an extracellular matrix to control cancer cell migration and tissue regeneration (CP8). Finally, pushed by the need for new insight into the signaling mechanisms of receptors, which are the targets of cancer therapeutics (CP9), TRD1.3 will develop fluorescence spectroscopy tools with nanometer spatial and sub-millisecond temporal resolution. In summary, this TRD further extends the core strength of the LBRC in fluorescence instrumentation by introducing these three new research directions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015871-32
Application #
9567174
Study Section
Special Emphasis Panel (ZEB1)
Project Start
Project End
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
32
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
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
Rizwan, Asif; Paidi, Santosh Kumar; Zheng, Chao et al. (2018) Mapping the genetic basis of breast microcalcifications and their role in metastasis. Sci Rep 8:11067
Xue, Yi; So, Peter T C (2018) Three-dimensional super-resolution high-throughput imaging by structured illumination STED microscopy. Opt Express 26:20920-20928
Pandey, Rishikesh; Singh, Surya P; Zhang, Chi et al. (2018) Label-free spectrochemical probe for determination of hemoglobin glycation in clinical blood samples. J Biophotonics 11:e201700397
Carr, Jessica A; Franke, Daniel; Caram, Justin R et al. (2018) Shortwave infrared fluorescence imaging with the clinically approved near-infrared dye indocyanine green. Proc Natl Acad Sci U S A 115:4465-4470
Quinn, Steven D; Srinivasan, Shwetha; Gordon, Jesse B et al. (2018) Single-Molecule Fluorescence Detection of the Epidermal Growth Factor Receptor in Membrane Discs. Biochemistry :
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

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