Author

D. J. X. Chow

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

Biology Disciplines

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Biophysics· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

K. Dholakia· 2 shared K. R. Dunning· 2 shared A. Habibalahi· 1 shared C. A. Campugan· 1 shared C. Y. Tan· 1 shared E. M. Goldys· 1 shared G. O. Dwapanyin· 1 shared J. M. Campbell· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersBiophysics

K. Dholakia

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Investigation of refractive index dynamics during embryo development using digital holographic microscopy

G. O. Dwapanyin, D. J. X. Chow, T. C. Y. Tan, N. S. Dubost, J. M. Morizet, K. R. Dunning, K. Dholakia

This study uses digital holographic microscopy to track refractive index changes in mouse embryos, linking them to lipid content and embryo health.

bioRxiv · Apr 17, 2023 · PreprintBiophysics

Experimentally unsupervised deconvolution for light-sheet microscopy with propagation-invariant beams

P. Wijesinghe, S. Corsetti, D. J. X. Chow, S. Sakata, K. Dunning, K. Dholakia

This paper introduces a deep learning deconvolution method for light-sheet microscopy using propagation-invariant beams, trained with physics-based images and unpaired data, achieving improved image contrast without requiring extensive paired training data.

bioRxiv · May 26, 2021Biophysics

Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo

C. Y. Tan, S. B. Mahbub, C. A. Campugan, J. M. Campbell, A. Habibalahi, D. J. X. Chow, S. Mustafa, E. M. Goldys, K. R. Dunning

This study uses hyperspectral microscopy to distinguish euploid and aneuploid cells in mouse embryos by analyzing metabolic activity differences.

bioRxiv · Nov 1, 2020Cell Biology