Author

N. Praljak

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 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Hill· 1 shared G. Singh· 1 shared M. Hinczewski· 1 shared S. Iram· 1 shared U. A. Gurkan· 1 shared U. Goreke· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBiophysics

A. Hill

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1 paper

Recent·Most cited

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells

N. Praljak, S. Iram, U. Goreke, G. Singh, A. Hill, U. A. Gurkan, M. Hinczewski

This paper develops a deep learning workflow for automated classification of sickle red blood cells using microfluidic images, achieving accuracy comparable to human experts with significantly faster analysis.

bioRxiv · Jul 1, 2020 · PreprintBiophysics