Author

Jianguo Zhang

Rosalind Franklin InstituteORCID 0000-0001-9317-0268Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jianguo Zhang1 paper · Chinese Academy of Forestry

Biology Disciplines

Click to filter author papers

Cell Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:cryo-EM· 1 Research Focus:dimensionality reduction· 1 Organism:E. coli· 1 Approach:experimental assay· 1

Frequent Co-Authors

Abner VelazcoiD· 1 shared Adam D. WaldmaniD· 1 shared Angus I. KirklandiD· 1 shared Avery PenningtoniD· 1 shared Calina A. GlynniD· 1 shared Daniel RueckertiD· 1 shared Hongwei LiiD· 1 shared Jake L. R. SmithiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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 paperCell Biology

Abner VelazcoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cell BiologyNature CommunicationsPeer-reviewedJun 4, 2025

Reduction of SEM charging artefacts in native cryogenic biological samples.

Abner Velazco, Thomas S. Glen, Sven Klumpe…·Maud Dumoux

This paper reduces SEM charging artefacts in cryogenic biological samples using interleaved scanning, enabling clearer visualization of previously masked structures.

18 citationstop 3%

𝕏 PostBluesky

NeuroscienceComputerized Medical Imaging and GraphicsPeer-reviewedNov 26, 2019

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

Muhammad Febrian Rachmadi, Maria del Carmen Valdés Hernández, Hongwei Li…·Taku Komura

The paper introduces LOTS-IM, an unsupervised method for detecting white matter hyperintensities and MS lesions in MRI, showing better performance than existing methods.

19 citations

imagingstatistical model

𝕏 PostBluesky