Author

Matthew Hur

University of California, IrvineORCID 0000-0001-5553-9212Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Approach:experimental assay· 1

Frequent Co-Authors

Eric MjolsnessiD· 2 shared Adrian T. Monstad-Rios· 1 shared Andy WillaertiD· 1 shared Charlotte Gistelinck· 1 shared Claire J. Watson· 1 shared David M. ParichyiD· 1 shared Jane Jean-Hee LeeiD· 1 shared Katherine L. Thompson-PeeriD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Eric MjolsnessORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 30, 2026

Implementation of ddaE neuron growth mechanism in graph grammar replicates biological features

Matthew Hur, Patrick T. Hwu, Katherine L. Thompson-Peer, Eric Mjolsness

The paper develops a computational model of ddaE neuron dendrite development using Dynamical Graph Grammar, showing that a single morphogen gradient can generate complex asymmetric branching patterns.

DOI 10.64898/2026.07.27.741078

Drosophilaspatial transcriptomics

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BiophysicsbioRxivPreprintApr 18, 2025

Synaptic spine head morphodynamics from graph grammar rules for actin dynamics

Matthew Hur, Thomas M. Bartol, Padmini Rangamani…·Eric Mjolsness

The paper models synaptic spine head morphology using graph grammars to simulate actin dynamics and their effects on membrane shape.

DOI 10.1101/2025.04.18.649558

spatial transcriptomicsdeep learning

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GeneticseLifePeer-reviewedSep 7, 2017

microCT-Based Phenomics in the Zebrafish Skeleton Reveals Virtues of Deep Phenotyping in a Distributed Organ System

Matthew Hur, Charlotte Gistelinck, Philippe Huber…·Ronald Young Kwon

This study uses microCT to analyze zebrafish skeletons, identifying phenotypes linked to human diseases and showing how deep phenotyping improves mutant discrimination.

71 citations

zebrafishimaging

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