Prof. Rohit Bhargava Profile

Prof. Rohit Bhargava

Founder Professor of Engineering at Beckman Institute for Advanced Science & Technology

SPIE Involvement:

Conference Program Committee | Author

Publications (22)

Proceedings Article | 5 March 2020 Paper

Polarimetric infrared spectroscopic imaging using quantum cascade lasers

Yamuna Phal, Kevin Yeh, Rohit Bhargava

Proc. SPIE. 11252, Advanced Chemical Microscopy for Life Science and Translational Medicine

KEYWORDS: Infrared imaging, Polarization, Tissues, Spectroscopy, Quantum cascade lasers, Imaging spectroscopy, Polarimetry, Collagen, Infrared spectroscopy, Infrared microscopy

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Proceedings Article | 15 March 2019 Paper

Multi-space-enabled deep learning of breast tumors improves prediction of distant recurrence risk

Dooman Arefan, Bingjie Zheng, David Dabbs, Rohit Bhargava, Shandong Wu

Proc. SPIE. 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications

KEYWORDS: Breast, Cancer, Breast cancer, Data modeling, Tumors, Mammography, Statistical modeling, Performance modeling

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Proceedings Article | 5 March 2019 Paper

Nanoscale imaging of biological samples with responsivity corrected Atomic Force Microscopy-Infrared (AFM-IR) spectroscopy

Seth Kenkel, Rohit Bhargava

Proc. SPIE. 10891, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVI

KEYWORDS: Infrared imaging, Spectroscopy, Quantum cascade lasers, Imaging spectroscopy, Infrared spectroscopy, Near field scanning optical microscopy, Infrared microscopy, Absorption

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Proceedings Article | 8 May 2018 Paper

Agile optoelectronic fiber sources for hyperspectral chemical sensing from SWIR to LWIR

Inuk Kang, Andrew Grant, Mihaela Dinu, James Jaques, Luke Pfister, Rohit Bhargava, P. Scott Carney

Proc. SPIE. 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV

KEYWORDS: Long wavelength infrared, Short wave infrared radiation, Standoff detection, Detection and tracking algorithms, Spectroscopy, Solitons, Biological and chemical sensing

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Proceedings Article | 23 March 2016 Paper

A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging

Shachi Mittal, Tomasz Wrobel, L. Leslie, Andre Kadjacsy-Balla, Rohit Bhargava

Proc. SPIE. 9791, Medical Imaging 2016: Digital Pathology

KEYWORDS: Breast, FT-IR spectroscopy, Tumor growth modeling, Breast cancer, Detection and tracking algorithms, Tissues, Pathology, Spectroscopy, Imaging spectroscopy, Tissue optics, Thermal modeling, Solid modeling, Data analysis

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Proceedings Article | 23 March 2016 Paper

High-definition Fourier transform infrared spectroscopic imaging of prostate tissue

Tomasz Wrobel, Jin Tae Kwak, Andre Kadjacsy-Balla, Rohit Bhargava

Proc. SPIE. 9791, Medical Imaging 2016: Digital Pathology

KEYWORDS: Gold, Infrared imaging, Fourier spectroscopy, FT-IR spectroscopy, Data modeling, Tissues, Pathology, Spectroscopy, Imaging spectroscopy, Infrared spectroscopy, Infrared radiation, Prostate, Tissue optics

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Proceedings Article | 7 March 2016 Paper

Translation of infrared chemical imaging for cardiovascular evaluation

Saumya Tiwari, Jai Raman, Vijaya Reddy, Miranda Dawson, Rohit Bhargava

Proc. SPIE. 9704, Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry

KEYWORDS: Infrared imaging, FT-IR spectroscopy, Tissues, Pathology, Spectroscopy, Quantum cascade lasers, Imaging spectroscopy, Infrared spectroscopy, Infrared radiation, Biological research

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Proceedings Article | 7 March 2016 Paper

Discrete frequency infrared imaging using quantum cascade lasers for biological tissue analysis

Kevin Yeh, Rohit Bhargava

Proc. SPIE. 9704, Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry

KEYWORDS: Signal to noise ratio, Confocal microscopy, Infrared imaging, Tissues, Spectroscopy, Quantum cascade lasers, Imaging spectroscopy, Infrared spectroscopy, Data acquisition, Infrared radiation, Absorbance, Chemical analysis, Biological research, Tissue optics, Infrared microscopy, Absorption

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Proceedings Article | 19 March 2015 Paper

High-definition Fourier transform infrared spectroscopic imaging of breast tissue

L. Suzanne Leslie, Andre Kadjacsy-Balla, Rohit Bhargava

Proc. SPIE. 9420, Medical Imaging 2015: Digital Pathology

KEYWORDS: Signal to noise ratio, Breast, Infrared imaging, Microscopes, FT-IR spectroscopy, Spectroscopy, Imaging spectroscopy, Image quality, Tissue optics, Spectroscopes

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Proceedings Article | 17 March 2015 Paper

Fourier transform infrared (FT-IR) spectroscopy and imaging of the nucleus to characterize DNA contributions in different phases of the cell cycle

Saumya Tiwari, Xinying Zong, Sarah Holton, K. Prasanth, Rohit Bhargava

Proc. SPIE. 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging

KEYWORDS: Packaging, Infrared imaging, FT-IR spectroscopy, Proteins, Tissues, Scattering, Spectroscopy, Imaging spectroscopy, Infrared spectroscopy, Infrared radiation

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Proceedings Article | 20 March 2014 Paper

Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data

David Mayerich, Michael Walsh, Andre Kadjacsy-Balla, Shachi Mittal, Rohit Bhargava

Proc. SPIE. 9041, Medical Imaging 2014: Digital Pathology

KEYWORDS: Breast, Mid-IR, FT-IR spectroscopy, Breast cancer, Tissues, Spectroscopy, Imaging spectroscopy, Collagen, Biopsy, Infrared spectroscopy

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Proceedings Article | 29 May 2013 Paper

Mid-infrared microspectroscopic imaging with a quantum cascade laser

Kevin Yeh, Matthew Schulmerich, Rohit Bhargava

Proc. SPIE. 8726, Next-Generation Spectroscopic Technologies VI

KEYWORDS: Staring arrays, Infrared imaging, Mid-IR, FT-IR spectroscopy, Imaging systems, Quantum cascade lasers, Imaging spectroscopy, Infrared spectroscopy, Absorbance, Spectroscopes

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Proceedings Article | 10 February 2012 Paper

Denoising and deblurring of Fourier transform infrared spectroscopic imaging data

Tan Nguyen, Rohith Reddy, Michael Walsh, Matthew Schulmerich, Gabriel Popescu, Minh Do, Rohit Bhargava

Proc. SPIE. 8296, Computational Imaging X

KEYWORDS: Point spread functions, FT-IR spectroscopy, Data modeling, Imaging systems, Sensors, Image processing, Spectroscopy, Denoising, Imaging spectroscopy, Absorbance

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Proceedings Article | 1 February 2012 Paper

High-resolution mid-infrared imaging for disease diagnosis

Michael Walsh, David Mayerich, Andre Kajdacsy-Balla, Rohit Bhargava

Proc. SPIE. 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry

KEYWORDS: Infrared imaging, FT-IR spectroscopy, Tissues, Imaging systems, Image resolution, Imaging spectroscopy, Absorbance, Colon, Spatial resolution, Attenuated total reflectance

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Proceedings Article | 12 February 2011 Paper

Spatial-domain low-coherence quantitative phase microscopy for cancer diagnosis

Pin Wang, Rajan Bista, Rohit Bhargava, Randall Brand, Yang Liu

Proc. SPIE. 7889, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV

KEYWORDS: Refractive index, Light sources, Cancer, Breast cancer, Tissues, Scattering, Microscopy, Light scattering, Phase measurement, Signal detection

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Proceedings Article | 3 March 2009 Paper

Computer-aided detection of HER2 amplification status using FISH images: a preliminary study

Bin Zheng, Xiao-Hui Wang, Urvashi Surti, Rohit Bhargava, David Gur

Proc. SPIE. 7260, Medical Imaging 2009: Computer-Aided Diagnosis

KEYWORDS: Statistical analysis, Computer aided diagnosis and therapy, Breast cancer, Image segmentation, Luminescence, Image analysis, Genetics, Computer aided design, Signal detection

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The amplification status of human epidermal growth factor receptors 2 (HER2) genes is strongly associated with clinical outcome in patients with breast cancer. The American Society of Clinical Oncology Tumor Marker Guidelines Panel has recommended routine testing of HER2 status on all newly diagnosed metastatic breast cancers since 2001. Although fluorescent in situ hybridization (FISH) technology provides superior accuracy as compared with other approaches, current manual FISH analysis methods are somewhat subjective, tedious, and may introduce interreader variability. The goal of this preliminary study is to develop and test a computer-aided detection (CAD) scheme to assess HER2 status using FISH images. Forty FISH images were selected for this study from our genetic laboratory. The CAD scheme first applies an adaptive, iterative threshold method followed by a labeling algorithm to segment cells of possible interest. A set of classification rules is then used to identify analyzable interphase cells and discard nonanalyzable cells due to cell overlapping and/or other image staining debris (or artifacts). The scheme then maps the detected analyzable cells onto two other gray scale images corresponding to the red and green color of the original image followed by application of a raster scan and labeling algorithms to separately detect the HER-2/neu ("red") and CEP17 ("green") FISH signals. A simple distance based criterion is applied to detect and merge split FISH signals within each cell. The CAD scheme computes the ratio between independent "red" and "green" FISH signals of all analyzable cells identified on an image. If the ratio is ≥ 2.0, the FISH image is assumed to have been acquired from a HER2+ case; otherwise, the FISH image is assumed to have been acquired from HER2- case. When we applied the CAD scheme to the testing dataset, the average computed HER2 amplification ratios were 1.06±0.25 and 2.53±0.81 for HER2- and HER2+ samples, respectively. The results show that the CAD scheme has the ability to automatically detect HER2 status using FISH images. The success of CAD-guided FISH image analysis could result in a more objective, consistent, and efficient approach in determining HER2 status of breast cancers.

Proceedings Article | 24 February 2009 Paper

Spectral histology of breast tissue using mid-infrared spectroscopic imaging

F. Nell Pounder, Rohit Bhargava

Proc. SPIE. 7182, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VII

KEYWORDS: Breast, FT-IR spectroscopy, Tumors, Tissues, Blood vessels, Image segmentation, Spectroscopy, Imaging spectroscopy, Image classification, Tissue optics

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Proceedings Article | 24 February 2009 Paper

Histologic models for optical tomography and spectroscopy of tissues

Rohit Bhargava, Brynmor Davis

Proc. SPIE. 7174, Optical Tomography and Spectroscopy of Tissue VIII

KEYWORDS: Signal to noise ratio, FT-IR spectroscopy, Tissues, Scattering, Optical coherence tomography, Spectroscopy, Imaging spectroscopy, Optical spectroscopy, Statistical modeling, Absorption

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Proceedings Article | 20 February 2009 Paper

Validating the cancer diagnosis potential of mid-infrared spectroscopic imaging

F. Nell Pounder, Rohith Reddy, Michael Walsh, Rohit Bhargava

Proc. SPIE. 7186, Optical Diagnostics and Sensing IX

KEYWORDS: Breast, FT-IR spectroscopy, Cancer, Tumors, Tissues, Sensors, Image segmentation, Spectroscopy, Imaging spectroscopy, Spectral resolution

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Proceedings Article | 26 August 2008 Paper

Tunable multilayered nanospheres as probes for surface-enhanced Raman spectroscopy

Anil Kodali, Rohit Bhargava

Proc. SPIE. 7032, Plasmonics: Metallic Nanostructures and Their Optical Properties VI

KEYWORDS: Gold, Refractive index, Multilayers, Optical spheres, Silica, Metals, Dielectrics, Silver, Raman spectroscopy, Raman scattering

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Proceedings Article | 21 February 2008 Paper

Structural and biochemical characterization of engineered tissue using FTIR spectroscopic imaging: melanoma progression as an example

Rohit Bhargava, Rong Kong

Proc. SPIE. 6870, Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurements of Tissue

KEYWORDS: Infrared imaging, FT-IR spectroscopy, Tumors, Tissues, Spectroscopy, Skin, Imaging spectroscopy, Melanoma, Tissue optics, Systems modeling

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Proceedings Article | 8 February 2008 Paper

Practical protocols for fast histopathology by Fourier transform infrared spectroscopic imaging

Frances Keith, Rohith Reddy, Rohit Bhargava

Proc. SPIE. 6853, Biomedical Optical Spectroscopy

KEYWORDS: Signal to noise ratio, Breast, FT-IR spectroscopy, Tissues, Image segmentation, Imaging spectroscopy, Data acquisition, Spectral resolution, Image classification, Tissue optics

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Showing 5 of 22 publications

Conference Committee Involvement (16)

Advanced Chemical Microscopy for Life Science and Translational Medicine 2021

6 March 2021 | San Francisco, California, United States

Digital and Computational Pathology

14 February 2021 | San Diego, California, United States

Digital Pathology

19 February 2020 | Houston, Texas, United States

Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry

1 February 2020 | San Francisco, California, United States

Advanced Chemical Microscopy for Life Science and Translational Medicine

1 February 2020 | San Francisco, California, United States

Digital Pathology

20 February 2019 | San Diego, California, United States

Digital Pathology

11 February 2018 | Houston, Texas, United States

Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry

27 January 2018 | San Francisco, California, United States

Digital Pathology

12 February 2017 | Orlando, Florida, United States

Digital Pathology Posters

12 February 2017 | Orlando, FL, United States

Digital Pathology

2 March 2016 | San Diego, California, United States

Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry

13 February 2016 | San Francisco, California, United States

Digital Pathology

25 February 2015 | Orlando, Florida, United States

Digital Pathology

16 February 2014 | San Diego, California, United States

Biomedical Vibrational Spectroscopy VIII: Advances in Research and Industry

1 February 2014 | San Francisco, California, United States

Biomedical Vibrational Spectroscopy VII: Advances in Research and Industry

21 January 2012 | San Francisco, California, United States

Showing 5 of 16 Conference Committees

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