Author

N. Sobh

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Assay:imaging· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

G. Popescu· 3 shared N. Goswami· 2 shared X. Chen· 2 shared A. Emad· 1 shared A. T. Epstein· 1 shared C. B. Bushell· 1 shared C. Best-Popescu· 1 shared C. Blatti· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioengineering

G. Popescu

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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

Cell cycle stage classification using phase imaging with computational specificity

Y. He, S. He, M. E. Kandel, Y. J. Lee, C. Hu, N. Sobh, M. Anastasio, G. Popescu

This paper introduces a method using phase imaging and neural networks to classify cell cycle stages without fluorescence, achieving high accuracy in G1, S, and G2/M classification.

bioRxiv · Nov 5, 2021Bioengineering

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

Knowledge-guided analysis of ‘omics’ data using the KnowEnG cloud platform

C. Blatti, A. Emad, M. J. Berry, L. Gatzke, M. Epstein, D. Lanier, P. Rizal, J. Ge, X. Liao, O. Sobh, M. Lambert, C. S. Post, J. Xiao, P. Groves, A. T. Epstein, , S. Sinha

KnowEnG is a cloud-based platform that provides tools for analyzing genomics data using knowledge-guided data-mining and machine learning, demonstrating its utility in cancer research.

bioRxiv · May 19, 2019Cancer Biology