2025

Endoscopic Fourier-transform infrared spectroscopy through a fiber microprobe
Kim, J., Tian, Y., Qiao, G., Villarta, J.A., Zhao, F., He, A., Ho, R.J., Liu, H., Bhargava, R. and Zhang, Y. 
Review of Scientific Instruments (2025)

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Oh, J.H., Falahkheirkhah, K. and Bhargava, R.
arXiv preprint arXiv (2025)

Visualizing Cell Structures with Minecraft
Wu, T., Thornburg, Z.R., Tan, K., Kenkel, S., Boppart, S.A., Bhargava, R. and Luthey-Schulten, Z.
The Biophysicist (2025)

Glioblastoma Drives Protease-Independent Extracellular Matrix Invasion of Microglia
Chang, C.W., Bale, A., Bhargava, R. and Harley, B.A.
Materials Today Bio (2025)

A Machine Learning-based Approach for Quantification of Protein Secondary Structures from Discrete Frequency Infrared Images
Edmonds, H., Mukherjee, S., Holcombe, B., Yeh, K., Bhargava, R. and Ghosh, A
bioRxiv (2025)

2024

Detecting Hallucinations in Virtual Histology with Neural Precursors
Oh, J.H., Falahkheirkhah, K. and Bhargava, R.
arXiv preprint (2024)

Optical Spectroscopic Detection and Typing of Cardiac Amyloidosis
Mukherjee, S.S., Maleszewski, J.J., Luthringer, D., Confer, M.P., Mittal, A., Dasari, S., McPhail, E.D., Kapa, S., Kesavadas, T., Kajdacsy-Balla, A., Kransdorf, E., Raman. J., and Bhargava, R.
Circulation (2024)

Are We Ready for Out-of-Distribution Detection in Digital Pathology?
Oh, J.H., Falahkheirkhah, K. and Bhargava, R.
In International Conference on Medical Image Computing and Computer-Assisted Intervention (2024)

Laparoscopic total pancreatectomy after laparoscopic whipple
Salirrosas, O., Vega, E.A., Chirban, A.M., Harandi, H., Cohen, M., Anderson, A., Bhargava, R. and Conrad, C. 
Annals of Surgical Oncology (2024)

MANCR lncRNA Modulates Cell-Cycle Progression and Metastasis by Cis-Regulation of Nuclear Rho-GEF
Singh, D.K., Cong, Z., Song, Y.J., Liu, M., Chaudhary, R., Liu, D., Wang, Y., Prasanth, R., KC, R., Lizarazo, S., Akhnoukh, M., Gholamalamdari, O., Moitra, A., Jenkins, L.M., Bhargava, R., Nelson, E.R., Bortle, K. V., Prasanth, S. G., and Prasanth, K. V.
Molecular and cellular biology (2024)

Plasma Electrochemistry in Non-Aqueous Solvents and Application to Organic Synthesis
Peyres, S., Wang, J., Hollyfield, D., Confer, M.P., Uner, N.B., Bhargava, R., Moore, J.S. and Sankaran, M.
Electrochemical Society Meeting Abstracts 245 (2024)

Label-Free Monitoring of Coculture System Dynamics: Probing Probiotic and Cancer Cell Interactions via Infrared Spectroscopic Imaging
Jeong, Y., Hsieh, P.H., Phal, Y., Bhargava, R. and Irudayaraj, J.
Analytical Chemistry (2024)

Capturing cell morphology dynamics with high temporal resolution using single-shot quantitative phase gradient imaging
Hur, S.W., Kwon, M., Manoharaan, R., Mohammadi, M.H., Samuel, A.Z., Mulligan, M.P., Hergenrother, P.J. and Bhargava, R.
Journal of biomedical optics (2024)

Inspiring a convergent engineering approach to measure and model the tissue microenvironment
Iyer, R.R., Applegate, C.C., Arogundade, O.H., Bangru, S., Berg, I.C., Emon, B., Porras-Gomez, M., Hsieh, P.H., Jeong, Y., Kim, Y., Knox, H.J., Moghaddam, A.O., Renteria, C.A., Richard, C., Santaliz-Casiano, A., Sengupta, S., Wang, J., Zambuto, S.G., Zeballos, M.A., Pool, M., Bhargava, R., and Gaskins, H.R.
Heliyon (2024)

MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images
Balraj, K., Ramteke, M., Mittal, S., Bhargava, R. and Rathore, A.S.
Scientific Reports (2024)

INSTRAS: INfrared Spectroscopic imaging-based TRAnsformers for medical image Segmentation
Lin, H., Falahkheirkhah, K., Kindratenko, V. and Bhargava, R.
Machine Learning with Applications (2024)

Osteopontin stabilization and collagen containment slows amorphous calcium phosphate transformation during human aortic valve leaflet calcification
Sivaguru, M., Mori, S., Fouke, K.W., Ajijola, O.A., Shivkumar, K., Samuel, A.Z., Bhargava, R. and Fouke, B.W.
Scientific Reports (2024)

Sensitive Discrete Frequency Mid-Infrared Absorption Spectroscopy Using Digitally Referenced Detection
Ho, R.J., Yeh, K., Liu, Y.T. and Bhargava, R.
Analytical Chemistry (2024)

ASO Author Reflections: Lymph Node Station 16 Status—Becoming a Student of Your Patients’ Cancer
Salirrosas, O., Kawahara, W., Vega, E. A., Bhargava, R., Salehi, O., and Conrad, C.
Annals of Surgical Oncology (2024)

Modeling the Thermoelastic Sample Response for Subdiffraction Infrared Spectroscopic Imaging
Kenkel, S., and Bhargava, R.
Chemical & Biomedical Imaging (2024)

Rapid and Label-Free Histopathology of Oral Lesions Using Deep Learning Applied to Optical and Infrared Spectroscopic Imaging Data
Confer, M.P., Falahkheirkhah, K., Surendran, S., Sunny, S.P., Yeh, K., Liu, Y.T., Sharma, I., Orr, A.C., Lebovic, I., Magner, W.J., Sigurdson, S.L., Aguirre, A., Markiewicz, M.R., Suresh, A., Hicks, W.L., Birur, P., Kuriakose, M.A., and Bhargava, R.
Journal of Personalized Medicine (2024)

Abstract B052: Hyaluronic acid influences amino acid metabolism in glioblastoma’s U87-MG cell line in a 2D culture via LAT1 transporter expression
Bale, A. A., Bhargava, R., and Harley, B.
Cancer Research (2024)

Aberrant ATM signaling and homology-directed DNA repair as a vulnerability of p53-mutant GBM to AZD1390-mediated radiosensitization
Chen, J., Laverty, D.J., Talele, S., Bale, A., Carlson, B.L., Porath, K.A., Bakken, K.K., Burgenske, D.M., Decker, P.A., Vaubel, R.A., Eckel-Passow, J.E., Bhargava, R., Lou, Z., Hamerlik, P., Harley, B., Elmquist, W.F., Nagel, Z.D., Gupta, S.K., and Sarkaria, J.N.
Science translational medicine (2024)

Heat conduction in live tissue during radiofrequency electrosurgery
Ran, J., El-Kebir, H., Lee, Y., Chamorro, L.P., Berlin, R., Aguiluz Cornejo, G.M., Benedetti, E., Giulianotti, P.C., Bhargava, R., Bentsman, J. and Ostoja-Starzewski, M.
Journal of the Royal Society Interface (2024)

Hyaluronic Acid Influences Amino Acid Metabolism via Differential L‐Type Amino Acid Transporter 1 Expression in the U87‐Malignant Glioma Cell Line
Bale, A. A., Thammineni, S., Bhargava, R., and Harley, B.
Advanced NanoBiomed Research (2024)

Spectroelectrochemical determination of thiolate self-assembled monolayer adsorptive stability in aqueous and non-aqueous electrolytes
Siddiqui, A. R., N’Diaye, J., Santiago-Carboney, A., Martin, K., Bhargava, R., and Rodríguez-López, J.
Analyst (2024)

2023

Zakomirnyi, V.I., Moroz, A., Bhargava, R. and Rasskazov, I.L. “Large fluorescence enhancement via lossless all-dielectric spherical mesocavities” ACS nano (2023)
Paper | DOI: 10.1021/acsnano.3c09777

Holcombe, B., Foes, A., Banerjee, S., Yeh, K., Wang, S.H.J., Bhargava, R. and Ghosh, A. “Intermediate Antiparallel β Structure in Amyloid β Plaques Revealed by Infrared Spectroscopic Imaging” ACS Chemical Neuroscience (2023)
Paper | DOI: 10.1021/acschemneuro.3c00400

Patil, S. S., Ramteke, M., Verma, M., Seth, S., Bhargava, R., Mittal, S., and Rathore, A. S. “A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains” Journal of Digital Imaging (2023).
Paper | DOI: 10.1007/s10278-023-00873-2

Falahkheirkhah, K., Mukherjee, S.S., Gupta, S., Herrera-Hernandez, L., McCarthy, M.R., Jimenez, R.E., Cheville, J.C. and Bhargava, R “Accelerating cancer histopathology workflows with chemical imaging and machine learning” Cancer Research Communications (2023)
Paper | DOI: 10.1158/2767-9764.CRC-23-0226

Yeh, K., Sharma, I., Falahkheirkhah, K., Confer, M.P., Orr, A.C., Liu, Y.T., Phal, Y., Ho, R.J., Mehta, M., Bhargava, A. Mei, W., Cheng, G., Cheville, J.C., Bhargava, R. “Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging” Nature communications (2023)
Paper | DOI: 10.1038/s41467-023-40740-w

Mukherjee, S. S. and Bhargava, R. “Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets” Analytical Chemistry (2023).
Paper | DOI: 10.1021/acs.analchem.3c01539

Bhargava, R. “Digital Histopathology by Infrared Spectroscopic Imaging” Annual Review of Analytical Chemistry (2023).
Paper | DOI: 10.1145/annurev-anchem-101422-090956

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

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: 10.1016/j.labinv.2022.100006

2022

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: 10.1021/acs.analchem.2c04554

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

C. Gong, R. Bhargava, and C Bajaj “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

2021

K. Falahkheirkhah, K. Yeh, S. Mittal, L. Pfister, and R. Bhargava “Deep learning-based protocols to enhance infrared imaging systems” Chemometrics and Intelligent Laboratory Systems (2021). [Special Issue]
Paper | DOI: 10.1016.j.chemolab.2021.104390

E. Zimmerman*, S. Mukherjee*, K. Falahkheirkhah, M. Gryka, A. Kajdacsy-Balla, W. Hasan, G. Giraud, F. Tibayan, J. Raman, and R. Bhargava “Detection and Quantification of Myocardial Fibrosis Using Stain-Free Spectroscopic Imaging” Archives of Pathology & Laboratory Medicine (2021). [*Joint First Author]
Paper | DOI: 10.5858/arpa.2020-0635-OA

Y. Phal, K. Yeh, and R. Bhargava “EXPRESS: Design Considerations for Discrete Frequency Infrared Microscopy Systems” Applied Spectroscopy (2021).
Paper | DOI: 10.1177/00037028211013372

S. Mittal, T. Wrobel, M. Walsh, A. Kajdacsy-Balla, and R. Bhargava “Breast cancer histopathology using infrared spectroscopic imaging: The impact of instrumental configurations” Clinical Spectroscopy (2021).
Paper | DOI: 10.1016/j.clispe.2021.100006

K. Falahkheirkhah, and R. Bhargava “Enhancing hyperspectral imaging” Nature Machine Intelligence (2021).
Paper | DOI: 10.1038/s42256-021-00336-9

S. Tiwari, A. Kajdacsy-Balla, J. Whiteley, G. Cheng, S. Hewitt, and R. Bhargava “INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival” Science Advances (2021).
Paper | DOI: 10.1126/sciadv.abb8292