Author

Peilin Gu

Harvard University

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

Bioengineering· 3 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 4 Approach:deep learning· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

CHONG CHEN· 4 shared Jian Hua ReniD· 4 shared Brett E. BoumaiD· 1 shared Chen Xi· 1 shared Martin VilligeriD· 1 shared Néstor Uribe‐PatarroyoiD· 1 shared Wang Huiru· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

7 top collaborators · 15 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 papersBioengineering

CHONG CHEN

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Genetically Encoded Melanin as a Photostable Scattering Contrast for Whole-Brain Tomography

Peilin Gu, CHONG CHEN, Jian Hua Ren

The paper introduces MelaCAST, a genetically encoded scattering method for whole-brain imaging in mice, providing photostable contrast without photobleaching.

bioRxiv · Jul 2, 2026 · PreprintNeuroscience

High-throughput whole-brain scattering imaging resolves Amyloid plaques through clearing-assisted contrast modulation

CHONG CHEN, Peilin Gu, Jian Hua Ren

This paper introduces CAST, a label-free whole-brain imaging technique that maps amyloid plaques in mouse brains using clearing-assisted scattering tomography.

bioRxiv · Jun 29, 2026 · PreprintBioengineering

Deep learning-enabled speckle reduction for cleared-sample coherent scattering tomography

CHONG CHEN, Wang Huiru, Peilin Gu, Chen Xi, Jian Hua Ren

The paper introduces CLEAR Net, a deep learning method to reduce speckle noise in CAST brain imaging while preserving structural details, and benchmarks it against existing methods.

bioRxiv · Jan 30, 2026 · PreprintBioengineering

FUSION: A fast and uniform processing framework for whole-brain optical scattering tomography images

CHONG CHEN, Peilin Gu, Martin Villiger, Néstor Uribe‐Patarroyo, Brett E. Bouma, Jian Hua Ren

The paper introduces FUSION, a framework for processing whole-brain optical scattering tomography images, enabling high-throughput and uniform stitching of fuCAST datasets.

bioRxiv · Jan 7, 2026 · PreprintBioengineering