2022 to Present


Wang, J., Üner, N. B., Dubowsky, S. E., Confer, M. P., Bhargava, R., Sun, Y., Zhou, Y., Sankaran, R. M., and Moore, J. S. “Plasma Electrochemistry for Carbon–Carbon Bond Formation via Pinacol Coupling” Journal of the American Chemical Society (2023).
Paper | DOI: 10.1021/jacs.3c01779

V. I. Zakomirnyi, A. Moroz, R. Bhargava, and I. L. Rassakazov “Fluorescence enhancement via lossless all-dielectric spherical mesocavities” arXiv preprint arXiv:2301.10899. (2023)

K. Falahkheirkhah, S. Tiwari, K. Yeh, S. Gupta, L. H. Hernandez, M. R. McCarthy, R. E. Jimenez, J. C. Cheville, and R. Bhargava “Deepfake Histologic Images for Enhancing Digital Pathology” Laboratory Investigation (2023).
Paper | DOI: 10.1021/acs.analchem.2c04554


P.H. Hsieh, Y. Phal, K. V. Prasanth, and R. Bhargava “Cell Phase Identification in a Three-Dimensional Engineered Tumor Model by Infrared Spectroscopic Imaging” Analytical Chemistry (2022).
Paper | DOI: 10.1016/j.labinv.2022.100006

S. Kenkel, M. Gryka, L. Chen, M. P. Confer, A. Rao, S. Robinson, K. V. Prasanth, and R. Bhargava “Chemical imaging of cellular ultrastructure by null-deflection infrared spectroscopic measurements” PNAS (2022).
Paper | DOI: 10.1073/pnas.2210516119

Y. Phal, L. Pfister, P. S. Carney, and R. Bhargava “Resolution Limit in Infrared Chemical Imaging” The Journal of Physical Chemistry C (2022).
Paper | DOI: 10.1021/acs.jpcc.2c00740

K. Falahkheirkhah, T. Guo, M. Hwang, P. Tamboli, C.G. Wood, J.A. Karam, K. Sircar, and R. Bhargava “A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections” Laboratory Investigation (2022).
Paper | DOI: 10.1038/s41374-021-00718-y

S. Tiwari, K. Falahkheirkhah, G. Cheng, and R. Bhargava “Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning” Applied Spectroscopy (2022).
Paper | DOI: 10.1177/00037028221076170

S. Mittal, J. Kim, and R. Bhargava “Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging” Applied Spectroscopy (2022).
Paper | DOI: 10.1177/00037028211066327

R. J. Ho, Y. Phal, L. Lux, and R. Bhargava “Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images” Computational Intelligence and Neuroscience (2022).
Paper | DOI: 10.1155/2022/5865640