Author

J. Sedat

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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Cell Biology· 3 Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:deconvolution· 2 Approach:deep learning· 2 Assay:electronic health records· 2 Approach:experimental assay· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:cryo-EM· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

M. Elbaum· 4 shared M. Arigovindan· 3 shared A. McDonald· 2 shared C. Murre· 2 shared H. Cang· 2 shared Z. Kam· 2 shared A. Castello· 1 shared A. Palanca· 1 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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4 shared papersCell Biology

M. Elbaum

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Author profile →

5 papers

Recent·Most cited

A Proposed Unified Mitotic Chromosome Architecture

J. Sedat, A. McDonald, H. G. Kasler, E. Verdin, H. Cang, M. Arigovindan, C. Murre, M. Elbaum

The paper proposes a unified molecular architecture for human Chromosome 10 throughout the mitotic cycle, based on interphase structure and validated by digital PCR.

bioRxiv · Oct 14, 2021Cell Biology

A Proposed Unified Interphase Nucleus Chromosome Structure: Preliminary Preponderance of Evidence

J. Sedat, A. McDonald, H. Cang, J. S. Lucas, M. Arigovindan, Z. Kam, C. Murre, M. Elbaum

The paper proposes a unified interphase nucleus chromosome structure based on cryo-electron tomography, suggesting a coiled 'Slinky' architecture that explains various chromosome structures.

bioRxiv · Oct 8, 2021Cell Biology

Entropy Regularized Deconvolution of Cellular Cryo-Transmission Electron Tomograms

M. Croxford, M. Elbaum, M. Arigovindan, Z. Kam, D. A. Agard, E. Villa, J. Sedat

The paper applies entropy regularized deconvolution to cryo-ET data to improve resolution and reduce noise, assessing results via Fourier analysis and subtomogram analysis.

bioRxiv · Apr 26, 2021 · PreprintBiophysics

3D Deconvolution Processing for STEM Cryo-Tomography

B. Waugh, S. G. Wolf, D. Fass, E. Branlund, T. Kam, J. Sedat, M. Elbaum

This paper applies deconvolution algorithms from fluorescence microscopy to improve 3D reconstruction in cryo-scanning transmission electron tomography, enhancing contrast and reducing noise in cellular structures.

bioRxiv · Aug 26, 2020Biophysics

CryoSIM: super resolution 3D structured illumination cryogenic fluorescence microscopy for correlated ultra-structural imaging

M. A. Phillips, M. Harkiolaki, D. M. S. Pinto, R. M. Parton, A. Palanca, M. Garcia-Moreno, I. Kounatidis, J. Sedat, D. I. Stuart, A. Castello, M. J. Booth, I. Davis, I. M. Dobbie

The paper introduces cryoSIM, a super-resolution 3D fluorescence microscope for cryo-imaging that can be replicated with off-the-shelf components and open-source software.

bioRxiv · Mar 9, 2020Cell Biology