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Digant P. Dave

Affiliations: 
Biomedical Engineering University of Texas at Arlington, Arlington, TX, United States 
Area:
Biomedical Engineering, Optics Physics
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"Digant Dave"
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Sajal Chirvi grad student 2012 UT Arlington
James O. Nyagilo grad student 2012 UT Arlington

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Publications

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Chirvi S, Davé DP. (2023) Distributed interferometric fiber tip biosensors for a multi-channel and label-free biomolecular interaction analysis. Applied Optics. 62: 8535-8542
Gao X, Zhang Z, Mashimo T, et al. (2020) Gliomas Interact with Non-glioma Brain Cells via Extracellular Vesicles. Cell Reports. 30: 2489-2500.e5
Nyagilo JO, Picirrillo S, Sun Y, et al. (2017) Abstract A54: Extracellular matrix geometry and 3D spatial confinement trigger diverse mechanisms of primary human glioblastoma cell migration Cancer Research. 77
Satpathy S, Batabyal S, Dave DP, et al. (2016) Label free detection of optogenetically stimulated cellular activity by low coherence interferometry(Conference Presentation) Proceedings of Spie. 9690
Li S, Nyagilo JO, Dave DP, et al. (2015) Probabilistic partial least squares regression for quantitative analysis of Raman spectra. International Journal of Data Mining and Bioinformatics. 11: 223-43
Nyagilo J, Chang SH, Wu J, et al. (2015) Fiber-tip plasmonic resonators for label-free biosensing Sensors and Actuators, B: Chemical. 212: 225-228
Li S, Nyagilo JO, Dave DP, et al. (2014) Models and methods for quantitative analysis of surface-enhanced Raman spectra. Ieee Journal of Biomedical and Health Informatics. 18: 525-36
Li S, Gao J, Nyagilo JO, et al. (2014) A unified probabilistic PLSR model for quantitative analysis of Surface-Enhanced Raman Spectrum (SERS) Lecture Notes in Electrical Engineering. 246: 1095-1103
Li S, Nyagilo JO, Dave DP, et al. (2013) Continuous wavelet transform based partial least squares regression for quantitative analysis of Raman spectrum. Ieee Transactions On Nanobioscience. 12: 214-21
Li S, Nyagilo JO, Dave DP, et al. (2013) Eigenspectra, a robust regression method for multiplexed Raman spectra analysis. International Journal of Data Mining and Bioinformatics. 7: 358-75
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