Author

D. Ahn

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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Biochemistry· 1 Biophysics· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:bacteria (other)· 1 Approach:biophysical modeling· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Y. Park· 3 shared d. ryu· 2 shared g. kim· 2 shared H. cho· 2 shared J. park· 2 shared Y. Jo· 2 shared C.-J. Park· 1 shared D. R. Chung· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersCancer Biology

Y. Park

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning

J. park, S.-J. Shin, M. Kim, g. kim, H. cho, d. ryu, d. ahn, j. e. heo, h.-s. min, K. S. Lee, Y. Park, T. H. Hwang

This paper develops a 3D virtual H&E staining method using holotomography and deep learning for cancer tissues, validated on colon and gastric cancer samples.

bioRxiv · Dec 4, 2023 · PreprintCancer Biology

Rapid label-free identification of pathogenic bacteria species from a minute quantity 1 exploiting three-dimensional quantitative phase imaging and artificial neural network

G. Kim, D. Ahn, M. Kang, J. Park, D. Ryu, Y. Jo, J. Song, J. S. Ryu, G. Choi, H. J. Chung, K. Kim, D. R. Chung, I. Y. Yoo, H. J. Huh, H. Min, , Y. Park

This paper develops a framework for rapid bacterial species identification using 3D quantitative phase imaging and artificial neural networks, achieving 99.9% accuracy with single colony-forming units.

bioRxiv · Jun 23, 2021Microbiology

Biophysical investigation of the dual binding surfaces of human transcription factors FOXO4 and p53

J. Kim, D. Ahn, C.-J. Park

This study identifies two binding sites between FOXO4 and p53 using NMR and calorimetry, revealing their roles in promoting p21 transcription and cell senescence.

bioRxiv · Jan 11, 2021Biochemistry

Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms

J. Lee, H. Kim, H. Cho, Y. Jo, Y. Song, D. Ahn, K. Lee, Y. Park, S.-J. Ye

This paper introduces a deep learning method for label-free cell nucleus segmentation in time-lapse refractive index tomograms, validated across multiple experiments.

bioRxiv · Nov 27, 2018Biophysics