- Mittal, S., Wrobel, T.P., Walsh, M., Kajdacsy-Balla, and Bhargava, R. (2021). Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations. Clinical Spectroscopy, 3, 100006. Link
- Falahkheirkhah, K., Yeh, K., Mittal, S., M., Pfister, L., and Bhargava, R. (2021). Deep Learning-based protocols to enhance infrared imaging systems. Chemometrics and Intelligent Laboratory Systems, 104390. Link
- Schnell, M., Mittal, S., Falahkheirkhah, K., Mittal, A., Yeh, K., Kenkel, S., Kadjacsy-Balla, A., Carney, S., and Bhargava, R. (2020). All-digital Histopathology by infrared-optical hybrid microscopy. Proceedings of the National Academy of Sciences, 117 (7), 3388-3396 Link
- Kenkel, S., Mittal, S., and Bhargava, R. (2020). Molecular Characterization of Nanomaterials by Closed-Loop Atomic Force Microscopy-Infrared Spectroscopic Imaging. Nature Communications, 11 (1), 1-10 Link
- Mittal, S. and Bhargava, R. (2019). A comparison of mid-infrared spectral regions on the accuracy of tissue classification, Analyst, 144, 2635-2642.
- Mittal,S. ,Stoean,S.,Kajdacsy-Balla,andBhargava,R.(2019).DigitalAssessmentofStainedImagesfor Comprehensive Tumor Analysis. Frontiers in Bioengineering and Biotechnology, 7, 246.
- Gupta, S.*, Mittal, S.*, Kajdacsy-Balla, A., Bhargava, R., and Bajaj, C. (2019). A Fully Automated, Faster Noise Rejection Approach to Increasing the Analytical Capability of Chemical Imaging for Digital Histopathology. PloS One, 14(4), e0205219. (*equal contribution)
- Mittal,A., Mittal,S.,Yeh,K.,Higham,A.,andBhargava,R.(2019).InfraredSpectroscopicImaging:Acase study for digital molecular Histopathology. Molecular and Laser Spectroscopy: Advances and Applications- Part II.
- Mittal, S., Yeh, K., Leslie, L. S., Kenkel, S., Kajdacsy-Balla, A., and Bhargava, R. (2018). Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular Histopathology. Proceedings of the National Academy of Sciences, 115 (25).
- Kenkel, S., Mittal, A., Mittal, S., & Bhargava, R. (2018). Probe-sample interaction-independent Atomic Force Microscopy-Infrared (AFM-IR) spectroscopy: towards robust nanoscale compositional mapping. Analytical Chemistry, 90(15), 8845-8855.
- Mittal, S., Wrobel, T.P., Leslie, L.S., Kajdacsy-Balla, and Rohit Bhargava (2016). A four-class model for digital breast histopathology using high-definition fourier transform infrared (FT-IR) spectroscopic imaging. Prog. Biomed. Opt. Imaging - Proc. SPIE, Vol. 9791, p. 979118
- Devtter, B.M., Kenkel, S., Mittal, S., and Wrobel, T.P. (2017). Characterization of the structure of Low-E substrates and consequences for IR transflection measurements. Vibrational Spectroscopy, 91:119- 127.
- Ostadhossein, F., Misra, S.K, Mukherjee, P., Ostadhossein, A., Daza, E., Tiwari, S., Mittal, S., Gryka, Bhargava, R. and Pan, D. (2016). Breast Cancer Therapy: Defined Host-Guest Chemistry on Nanocarbon for Sustained Inhibition of Cancer. Small, 12(42), 5782-5782.
- Rathore, A. S. (corresponding author, PI) Mittal, S., Pathak, M., and Mahalingam, V. (2014). Chemometrics application in biotech processes: assessing comparability across processes and scales. Journal of Chemical Technology and Biotechnology, 89(9), 1311-1316.
- Mayerich, D. M., Walsh, M., Kadjacsy-Balla, A., Mittal, S., and Bhargava, R. (2014). Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data. SPIE Medical Imaging, Vol. 9041, p. 904107.
- Rathore, A. S. (corresponding author, PI) Mittal, S., Pathak, M., and Arora, A. (2014). Guidance for performing multivariate data analysis of bioprocessing data: Pitfalls and recommendations. Biotechnology Progress, 30(4), 967-973.
- Rathore, A. S. (corresponding author, PI) Mittal, S., Lute, S., and Brorson, K. (2012). Chemometrics applications in biotechnology processes: Predicting column integrity and impurity clearance during reuse of chromatography resin. Biotechnology Progress, 28(5), 1308-1314.