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Bioimage Solution LLC

Leadership Spotlight

Scientific Expertise & Research Leadership

Leadership Profile
10+
Years of Research Experience

YIJUN SU

Chief Scientific Officer, Bioimage Solution LLC

Yijun Su is a senior scientific professional with extensive experience working within the U.S. National Institutes of Health (NIH). As Chief Scientific Officer of Bioimage Solution LLC, he leads the company’s technical strategy and quality framework, with a focus on scientific report assessment, clinical documentation review, regulatory compliance, and research support services.

With over a decade of hands-on experience in federally funded research programs, Su has developed deep expertise in identifying technical issues and compliance risks in complex scientific materials. Under his leadership, the team at Bioimage Solution provides rigorous review and consultation services to government agencies, academic institutions, and biomedical companies—ensuring clarity, accuracy, and policy alignment across all deliverables.

Research Expertise

Biomedical Imaging

Advanced imaging techniques, image analysis algorithms, and quantitative microscopy.

Tissue Engineering

3D tissue modeling, scaffold design, and tissue-material interactions.

Computational Biology

Bioinformatics, machine learning applications in biomedical research.

Translational Research

Bridging basic science discoveries with clinical applications and technologies.

Research Impact

20+
Peer-Reviewed Publications
1000+
Total Citations
14
h-index
18
i10-index

Selected Publications

Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes

yijun su, Y Liu, A Zhuang, CA Conces, JR Swedlow, G Johnson
Nature Methods, 2021, 18(6): 618-627

Introduces 3D residual channel attention networks for denoising and sharpening fluorescence microscopy images, enhancing volume visualization quality while preserving structural details.

View Article Citations: 191 2021

Rapid image deconvolution and multiview fusion for optical microscopy

M Guo, Y Li, Y Sa, T Lambert, D D Nogare, MW Mykle, yijun su, G Johnson
Nature Methods, 2020, 17(10): 1137-1145

Proposes rapid deconvolution and multiview fusion techniques to accelerate optical microscopy workflows, enabling efficient large-scale 3D imaging with improved resolution.

View Article Citations: 160 2020

A conserved SUMO pathway repairs topoisomerase DNA-protein cross-links by engaging ubiquitin-mediated proteasomal degradation

Y Sun, DA Miller, J Wu, YF Su, AC Dittmar, M Jasin, Y Pommier, yijun su
Proceedings of the National Academy of Sciences, 2020, 117(1): 432-441

Identifies a conserved SUMO pathway that repairs topoisomerase DNA-protein cross-links through ubiquitin-mediated proteasomal degradation, with implications for DNA repair mechanisms.

View Article Citations: 89 2020