Author

I. Georgakoudi

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Approach:microscopy & imaging analysis· 2 Research Focus:cell-cell communication· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

C. M. Polleys· 3 shared A. Patra· 2 shared N. Vora· 2 shared A. K. Ganesan· 1 shared A. Sanchez-Hernandez· 1 shared E. M. Genega· 1 shared E. Miller· 1 shared F. Sakellariou· 1 shared

Activity by Year

2023-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioengineering

C. M. Polleys

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Author profile →

4 papers

Recent·Most cited

Non-invasive Imaging Techniques for Monitoring Cellular Response to Treatment in Stable Vitiligo

J. Shiu, G. Lentsch, C. M. Polleys, P. Mobasher, M. Ericson, I. Georgakoudi, A. K. Ganesan, M. Balu

The paper uses imaging techniques to identify early biomarkers of treatment response in vitiligo patients undergoing punch grafting.

bioRxiv · Aug 15, 2023Bioengineering

Deep Learning-Enabled, Detection of Rare Circulating Tumor Cell Clusters in Whole Blood Using Label-free, Flow Cytometry

N. Vora, P. Shekhar, M. Esmail, A. Patra, I. Georgakoudi

This paper develops a deep learning model for detecting rare circulating tumor cell clusters in whole blood using label-free flow cytometry, achieving high correlation and low false alarm rates.

bioRxiv · Aug 1, 2023Bioengineering

Formalin fixation and paraffin embedding interfere with preservation of optical metabolic assessments based on endogenous NAD(P)H and FAD two photon excited fluorescence

A. Sanchez-Hernandez, C. M. Polleys, I. Georgakoudi

This study shows that formalin fixation and paraffin embedding alter NAD(P)H and FAD two-photon fluorescence metrics in murine tissues, affecting optical metabolic assessments.

bioRxiv · Jun 16, 2023 · PreprintBioengineering

Restoration of metabolic functional metrics from label-free, two-photon cervical tissue images using multiscale deep-learning-based denoising algorithms

N. Vora, C. M. Polleys, F. Sakellariou, G. Georgalis, H.-T. Thieu, E. M. Genega, N. Jahanseir, A. Patra, E. Miller, I. Georgakoudi

The paper develops a multiscale deep-learning denoising algorithm to restore metabolic function metrics from low-SNR two-photon images of human cervical tissue.

bioRxiv · Jun 7, 2023 · PreprintBioengineering