Author

Minhyeok Cha

Agricultural Research ServiceORCID 0000-0001-9714-9554Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 3 Organism:fungi (other)· 2 Assay:imaging· 2 Approach:machine learning (classical)· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:plant (other)· 1 Assay:proteomics· 1

Frequent Co-Authors

Ezekiel Jin Sung AhniD· 4 shared Insuck BaekiD· 4 shared Lyndel W. MeinhardtiD· 4 shared Seunghyun LimiD· 4 shared Moon S. KimiD· 3 shared Amelia Helen LovelaceiD· 2 shared Sookyung Oh· 2 shared Sunchung ParkiD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersMicrobiology

Ezekiel Jin Sung AhnORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Taxonomy-agnostic hyperspectral-morphological phenotyping of fungal pathogen chemical-stress responses using machine learning

Insuck Baek, Seunghyun Lim, Amelia Helen Lovelace, Sookyung Oh, Masoud Kazem‐Rostami, Helen L. Ngo, M. S. Kim, Lyndel W. Meinhardt, Lalit Mohan Kandpal, Minhyeok Cha, Chansong Hwang, Richard D. Ashby, Ezekiel Jin Sung Ahn

This paper develops a taxonomy-agnostic workflow using hyperspectral imaging and machine learning to predict fungal isolate crop-source labels with 86.7% accuracy.

Smart Agricultural Technology · Feb 17, 2026Peer-reviewedMicrobiology

From minutes to bounds: A probabilistic UV-C control and a shape-only morphological fingerprint for postharvest Colletotrichum

Ezekiel Jin Sung Ahn, Insuck Baek, Seunghyun Lim, Amelia Helen Lovelace, Minhyeok Cha, Moon S. Kim, Sunchung Park, Lyndel W. Meinhardt

This paper introduces a probabilistic UV-C control framework and a shape-only morphological fingerprint to predict postharvest pathogen survival and origin in cacao and coffee.

bioRxiv · Nov 29, 2025 · PreprintMicrobiology

An Eligibility-Aware Pipeline for Robust ITS Diagnostics in Fungi: A Cacao Case Study with Generalizable Rules

Seunghyun Lim, Insuck Baek, Jishnu Bhatt, Rakesh Kumar Upadhyay, Sookyung Oh, Minhyeok Cha, Moon S. Kim, Lyndel W. Meinhardt, Ezekiel Jin Sung Ahn

The paper introduces an eligibility-aware pipeline to improve ITS diagnostics in fungi by addressing database incompleteness and primer performance issues, demonstrating its utility in cacao pathosystems.

bioRxiv · Nov 1, 2025 · PreprintMicrobiology

Unveiling differential responses to UVB (305 nm) and UVC (275 nm) in cacao-infecting Colletotrichum gloeosporioides and Pestalotiopsis sp.

Insuck Baek, Jae Hee Jang, Seunghyun Lim, Zhuangji Wang, Minhyeok Cha, Clint Magill, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Jin Sung Ahn

The paper investigates differential UVB and UVC responses in plant pathogenic fungi using hyperspectral imaging and machine learning, finding UVC more effective and Pestalotiopsis sp. more resistant than C. gloeosporioides.

bioRxiv · May 21, 2025 · PreprintMicrobiology