Shachi Mittal
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Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology
S Mittal, K Yeh, LS Leslie, S Kenkel, A Kajdacsy-Balla, R Bhargava
Proceedings of the National Academy of Sciences 115 (25), E5651-E5660, 2018
All-digital histopathology by infrared-optical hybrid microscopy
M Schnell, S Mittal, K Falahkheirkhah, A Mittal, K Yeh, S Kenkel, ...
Proceedings of the National Academy of Sciences 117 (7), 3388-3396, 2020
Guidance for performing multivariate data analysis of bioprocessing data: pitfalls and recommendations
AS Rathore, S Mittal, M Pathak, A Arora
Biotechnology Progress 30 (4), 967-973, 2014
Probe–sample interaction-independent atomic force microscopy–infrared spectroscopy: toward robust nanoscale compositional mapping
S Kenkel, A Mittal, S Mittal, R Bhargava
Analytical chemistry 90 (15), 8845-8855, 2018
Closed-loop atomic force microscopy-infrared spectroscopic imaging for nanoscale molecular characterization
S Kenkel, S Mittal, R Bhargava
Nature Communications 11 (1), 3225, 2020
Chemometrics application in biotech processes: assessing comparability across processes and scales
AS Rathore, S Mittal, M Pathak, V Mahalingam
Journal of Chemical Technology & Biotechnology 89 (9), 1311-1316, 2014
Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data
DM Mayerich, M Walsh, A Kadjacsy-Balla, S Mittal, R Bhargava
Medical Imaging 2014: Digital Pathology 9041, 38-44, 2014
Digital assessment of stained breast tissue images for comprehensive tumor and microenvironment analysis
S Mittal, C Stoean, A Kajdacsy-Balla, R Bhargava
Frontiers in bioengineering and biotechnology 7, 246, 2019
Chemometrics applications in biotechnology processes: predicting column integrity and impurity clearance during reuse of chromatography resin
AS Rathore, S Mittal, S Lute, K Brorson
Biotechnology progress 28 (5), 1308-1314, 2012
Defined host–guest chemistry on nanocarbon for sustained inhibition of cancer
F Ostadhossein, SK Misra, P Mukherjee, A Ostadhossein, E Daza, ...
Small 12 (42), 5845-5861, 2016
Characterization of the structure of low-e substrates and consequences for IR transflection measurements
BM DeVetter, S Kenkel, S Mittal, R Bhargava, TP Wrobel
Vibrational Spectroscopy 91, 119-127, 2017
Deep learning-based protocols to enhance infrared imaging systems
K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava
Chemometrics and Intelligent Laboratory Systems 217, 104390, 2021
Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on …
J Thagaard, G Broeckx, DB Page, CA Jahangir, S Verbandt, Z Kos, ...
The Journal of pathology 260 (5), 498-513, 2023
A comparison of mid-infrared spectral regions on accuracy of tissue classification
S Mittal, R Bhargava
Analyst 144 (8), 2635-2642, 2019
A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging
S Mittal, TP Wrobel, LS Leslie, A Kadjacsy-Balla, R Bhargava
Medical Imaging 2016: Digital Pathology 9791, 310-317, 2016
Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations
S Mittal, TP Wrobel, M Walsh, A Kajdacsy-Balla, R Bhargava
Clinical Spectroscopy 3, 100006, 2021
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast …
DB Page, G Broeckx, CA Jahangir, S Verbandt, RR Gupta, J Thagaard, ...
The Journal of pathology 260 (5), 514-532, 2023
A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology
S Gupta, S Mittal, A Kajdacsy-Balla, R Bhargava, C Bajaj
PloS one 14 (4), e0205219, 2019
Comparative evaluation of intrusion and root resorption using Burstone and Connecticut intrusion arches–a vivo study
M Verma, AB Chithranjan, S Padmanaban, S Mittal
J Indian Orthod Soc 44 (3), 4-11, 2010
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
K Falahkheirkhah, K Yeh, S Mittal, L Pfister, R Bhargava
arXiv preprint arXiv:1911.04410, 2019
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