Author

Kinjalk Parth

University of Illinois Urbana-Champaign

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Andrew D. B. LeakeyiD· 1 shared Ashish B. RajurkariD· 1 shared Dylan P. AlleniD· 1 shared Jeremy Ruhter· 1 shared K. Michael MartiniiD· 1 shared Nigel D. GoldenfeldiD· 1 shared Samuel Walker· 1 shared Scott M. McCoy· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

1 shared paperPlant Biology

Andrew D. B. LeakeyORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

ROOTQUANT: AUTOMATED ROOT TRAIT QUANTIFICATION FROMMINIRHIZOTRON IMAGES USING DEEP LEARNING

Kinjalk Parth, Sebastián Varela, Zhiru Liu, K. Michael Martini, Ashish B. Rajurkar, Dylan P. Allen, Scott M. McCoy, Jeremy Ruhter, Samuel Walker, Nigel D. Goldenfeld, Andrew D. B. Leakey

RootQuant uses deep learning to automatically quantify root traits from minirhizotron images, achieving high accuracy across species without pixel-level annotations.

bioRxiv · Jul 8, 2026 · PreprintPlant Biology