Author

A. Kajdacsy-Balla

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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Pathology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Approach:deep learning· 2 Organism:human· 2 Approach:experimental assay· 1

Frequent Co-Authors

G. Popescu· 3 shared H. Majeed· 2 shared M. Takabayashi· 2 shared M. Sakakura· 1 shared S. Borhani· 1 shared V. Macias· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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3 shared papersPathology

G. Popescu

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3 papers

Recent·Most cited

PathologybioRxivPreprintNov 19, 2021

Label-free imaging of collagen fibers in tissue slices using phase imaging with computational specificity

M. Sakakura, V. Macias, S. Borhani…·G. Popescu

This paper introduces PICS, a method that uses deep learning to infer collagen distribution from unlabeled tissue images, matching ground truth metrics.

DOI 10.1101/2021.11.19.469223

imagingdeep learning

𝕏 PostBluesky

PathologybioRxivDec 10, 2018

Tissue spatial correlation as cancer marker

M. Takabayashi, H. Majeed, A. Kajdacsy-Balla, G. Popescu

The paper introduces a new cancer marker based on spatial autocorrelation length from quantitative phase images and demonstrates its application in diagnosing breast tissue.

DOI 10.1117/1.jbo.24.1.016502

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivDec 28, 2017

Tissue disorder strength measured by quantitative phase imaging as intrinsic cancer marker

M. Takabayashi, H. Majeed, A. Kajdacsy-Balla, G. Popescu

This study uses quantitative phase imaging to measure tissue disorder strength, finding it increases with disease progression in breast tissue samples.

DOI 10.1371/journal.pone.0194320

humanimaging

𝕏 PostBluesky