Author

Shachi Mittal

University of Illinois Urbana-ChampaignORCID 0000-0002-5837-3411Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Abishek SankaranarayananiD· 1 shared Andre Kajdacsy‐BallaiD· 1 shared Anum S. KazerouniiD· 1 shared Chandrajit BajajiD· 1 shared Chenkai ZhaoiD· 1 shared Christopher I. LiiD· 1 shared Elizabeth A. Clemens· 1 shared Hernández· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Abishek SankaranarayananORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 16, 2026

PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns

Abishek Sankaranarayanan, Chenkai Zhao, Hernández…·Shachi Mittal

PhenoBIC is a deep learning model that automates cell phenotyping in multiplex imaging data, outperforming manual methods and other ML approaches with an F1-score of ~0.88.

DOI 10.64898/2026.06.11.731702

imagingdeep learning

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BioinformaticsPLoS ONEPeer-reviewedApr 24, 2019

A Fully Automated, Faster Noise Reduction Approach to Increasing the Analytical Capability of Chemical Imaging for Digital Histopathology

Soumyajit Sen Gupta, Shachi Mittal, Andre Kajdacsy‐Balla…·Chandrajit Bajaj

This paper introduces automated noise reduction methods for hyperspectral imaging data, achieving faster processing with comparable accuracy to manual methods.

6 citations

imagingstatistical model

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