Author

N. Goswami

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

G. Popescu· 3 shared N. Sobh· 2 shared C. Best-Popescu· 1 shared C. Oh· 1 shared E. N. Tevonian· 1 shared E. Valera· 1 shared H. J. Kong· 1 shared K. Bohn-Wippert· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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3 shared papersBioengineering

G. Popescu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Machine learning assisted health viability assay for mouse embryos with artificial confocal microscopy (ACM)

N. Goswami, N. Winston, W. Choi, N. Z. E. Lai, R. B. Arcanjo, X. Chen, N. Sobh, R. A. Nowak, M. A. Anastasio, G. Popescu

The paper develops a machine learning tool using artificial confocal microscopy to assess embryo viability by detecting nucleus features and classifying embryos into healthy/intermediate or sick categories.

bioRxiv · Jul 30, 2023 · PreprintBioengineering

Monitoring Reactivation of Latent HIV by Label-Free Gradient Light Interference Microscopy

N. Goswami, Y. Lu, M. E. Kandel, M. J. Fanous, K. Bohn-Wippert, E. N. Tevonian, R. D. Dar, G. Popescu

This study uses label-free GLIM to quantify HIV reactivation in single cells by analyzing morphological changes, finding specific dry mass and diameter thresholds associated with latency and reactivation.

bioRxiv · Dec 16, 2020Bioengineering

Rapid SARS-CoV-2 Detection and Classification Using Phase Imaging with Computational Specificity

N. Goswami, Y. R. He, Y.-H. Deng, C. Oh, N. Sobh, E. Valera, R. Bashir, N. Ismail, H. J. Kong, T. H. Nguyen, C. Best-Popescu, G. Popescu

This work proposes a rapid (<1 min.), label-free testing method for SARS-CoV-2 detection using quantitative phase imaging and deep learning with 96% accuracy.

bioRxiv · Dec 14, 2020Bioengineering

The Effects of Varying Gravito-inertial Stressors on Grip Strength and Hemodynamic Responses Across Gender

O. White, M. Barbiero, N. Goswami

This study examines how neurocognitive and cardiovascular systems interact under artificial gravity and whether these responses differ by gender, finding that men optimize grip force modulation while women show different hemodynamic patterns.

bioRxiv · Jun 27, 2018Physiology