Author

S. Porta

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· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

A. N. Santiago-Ruiz· 1 shared C. Bond· 1 shared H. Kim· 1 shared M. Lakadamyali· 1 shared M. T. Gyparaki· 1 shared Q. Tang· 1 shared S. Hugelier· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

A. N. Santiago-Ruiz

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1 paper

Recent·Most cited

ECLiPSE: A Versatile Classification Technique for Structural and Morphological Analysis of Super-Resolution Microscopy Data

S. Hugelier, H. Kim, M. T. Gyparaki, C. Bond, Q. Tang, A. N. Santiago-Ruiz, S. Porta, M. Lakadamyali

ECLiPSE is a machine learning pipeline for classifying super-resolution microscopy data, achieving high accuracy in identifying cellular structures and applying to tau protein clearance and TDP-43 morphotypes.

bioRxiv · May 10, 2023 · PreprintBiophysics