The research and development activities of the Signal Processing and Instrumentation Section (SPIS) are collaborative efforts with NIH Institute scientists, and often result in the development of unique, specialized biomedical instruments. Other projects involve signal and video processing algorithm development required for system simulation and data analysis. SPIS capabilities and accomplishments have established the group as the focal point for this type of engineering research and technology development at the NIH. Example technology and methodology development projects, as well as associated research studies include: 1. laser capture tissue microdissection (LCM) technologies for macromolecular analysis of normal development and pathology 2. expression tissue microdissection (xMD) methodologies enabling subcellular isolation for identification of organelle proteins 3. tissue microarray (TMA) technologies 4. two-photon excitation fluorescence microscopy (TPEFM) in-vivo methodologies 5. fluorescence photo activation localization microscopy (FPALM) nanoscale imaging 6. electron paramagnetic resonance (EPR) methodologies enabling in vivo functional and physiological imaging 7. cDNA and protein microarray technologies 8. magnetic resonance imaging (MRI) and functional MRI (fMRI) methodologies and devices 9. gamma camera imaging for analyzing bio-distribution of putative diagnostic and therapeutic radiotracers 10. fluorescence imaging for disease detection, monitoring, and guided surgery 11. optical polarization imaging and statistical analysis for quantitative characterization of tissue 12. automated mouse activity monitoring system (MAMS) for quantitative behavioral assessment in facility cages 13. clinical pathology tissue fixation and sectioning methodologies 14. microfluidics, microfabrication, and microanalysis technologies for molecular analysis 15. single molecule, DNA, and chromatin fiber mechanics and manipulation technologies 16. temporal and spectral programmable lighting technologies for health and rhythm entrainment 17. correlating in vivo prostate MRI and histopathology using individualized MR-Based molds 18. fly optomotor behavioral analysis and genetic dissection of color-vision circuits methodologies 19. autonomic measures for behavioral neurophysiology instrumentation and methodologies 20. vibrational spectroscopic near-field scanning microscopy imaging for nanoscale analysis of dynamical, conformational and organizational characteristics of cells and tissues 21. photodynamic therapy (PDT) technologies for cancer treatment 22. speech acquisition, analysis, and real-time adaptive processing methodologies 23. nonhuman primate maternal-fetal monitoring technologies for investigation of psychological, physiological, and behavior processes during fetal development 24. biomechanics real-time measurement and analysis technologies 25. muscle fiber tension transient instrumentation and analysis technologies 26. automated stimulation and monitoring instrumentation for investigation of genetics and neuro-specific transmission mechanisms of pain via mouse model assays 27. high-speed scanning optical spectrometry for analysis of bacteriorhodopsin energy transduction mechanisms 28. real-time multispectral endoscope imaging as an aid to surgery 29. positron emission tomography (PET) imaging 30. confocal microscopy imaging 31. chromosome microdissection technologies 32. non-invasive real-time in-vivo infrared imaging for assessment of endothelial function 33. atomic force microscopy (AFM) imaging 34. magnetic resonance elastography (MRE) imaging 35. ultrasound imaging

Project Start
Project End
Budget Start
Budget End
Support Year
14
Fiscal Year
2010
Total Cost
$724,000
Indirect Cost
Name
Center for Information Technology
Department
Type
DUNS #
City
State
Country
Zip Code
Freidlin, Raisa Z; Dave, Amisha D; Espey, Benjamin G et al. (2018) Measuring Risky Driving Behavior Using an mHealth Smartphone App: Development and Evaluation of gForce. JMIR Mhealth Uhealth 6:e69
DiStefano, Tyler; Chen, Holly Yu; Panebianco, Christopher et al. (2018) Accelerated and Improved Differentiation of Retinal Organoids from Pluripotent Stem Cells in Rotating-Wall Vessel Bioreactors. Stem Cell Reports 10:300-313
Kakareka, John W; Faranesh, Anthony Z; Pursley, Randall H et al. (2018) Physiological Recording in the MRI Environment (PRiME): MRI-Compatible Hemodynamic Recording System. IEEE J Transl Eng Health Med 6:4100112
Cheng, Ruida; Roth, Holger R; Lay, Nathan et al. (2017) Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks. J Med Imaging (Bellingham) 4:041302
Shinden, Yoshiaki; Ueo, Hiroki; Tobo, Taro et al. (2016) Rapid diagnosis of lymph node metastasis in breast cancer using a new fluorescent method with ?-glutamyl hydroxymethyl rhodamine green. Sci Rep 6:27525
Desai, Abhiksha; Krynitsky, Jonathan; Pohida, Thomas J et al. (2016) 3D-Printing for Analytical Ultracentrifugation. PLoS One 11:e0155201
Freidlin, Raisa Z; Agarwal, Harsh K; Sankineni, Sandeep et al. (2016) Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI. Magn Reson Imaging 34:1227-1234
Hendler, Richard W; Meuse, Curtis W; Gallagher, Travis et al. (2015) Stray light correction in the optical spectroscopy of crystals. Appl Spectrosc 69:1106-11
Kang, Suk Yun; Im, Chang-Hwan; Shim, Miseon et al. (2015) Brain Networks Responsible for Sense of Agency: An EEG Study. PLoS One 10:e0135261
Salem, Ghadi H; Dennis, John U; Krynitsky, Jonathan et al. (2015) SCORHE: a novel and practical approach to video monitoring of laboratory mice housed in vivarium cage racks. Behav Res Methods 47:235-50

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