Author

P. Kefer

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Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

F. Iqbal· 1 shared J. Lawrimor· 1 shared J. Liu· 1 shared K. Bloom· 1 shared K. Bonin· 1 shared M. Locatelli· 1 shared M. Zhang· 1 shared P.-A. Vidi· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

F. Iqbal

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1 paper

Recent·Most cited

Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences

P. Kefer, F. Iqbal, M. Locatelli, J. Lawrimor, M. Zhang, K. Bloom, K. Bonin, P.-A. Vidi, J. Liu

This study evaluates deep learning denoising methods for improving particle tracking accuracy in noisy microscopy images, finding supervised learning generally outperforms unsupervised approaches.

bioRxiv · Nov 4, 2020Biophysics