Publications

  1. 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
  2. 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

  3. 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
  4. 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

  5. Mittal, S. and Bhargava, R. (2019). A comparison of mid-infrared spectral regions on the accuracy of tissue classification, Analyst, 144, 2635-2642.
  6. Mittal,S. ,Stoean,S.,Kajdacsy-Balla,andBhargava,R.(2019).DigitalAssessmentofStainedImagesfor Comprehensive Tumor Analysis. Frontiers in Bioengineering and Biotechnology, 7, 246.
  7. 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)
  8. 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.

  9. 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).
  10. 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.

  11. 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

  12. 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.

  13. 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.

  14. 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.
  15. 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.
  16. 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.

  17. 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.