Author

U. Parlatan

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· 3 Biochemistry· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:microscopy & imaging analysis· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

M. B. Unlu· 4 shared I. Kecoglu· 3 shared A. Inanc· 1 shared A. Sen· 1 shared B. Durkut· 1 shared C. Celik-Ozenci· 1 shared F. Guzelcimen· 1 shared I. Loc· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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4 shared papersBiophysics

M. B. Unlu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Label-free differentiation of functional zones in mature mouse placenta using micro-Raman imaging

A. Inanc, N. I. Bektas, I. Kecoglu, U. Parlatan, B. Durkut, M. Ucak, M. B. Unlu, C. Celik-Ozenci

This study uses micro-Raman imaging to differentiate functional zones in mature mouse placenta without labels, revealing biochemical distinctions between regions.

bioRxiv · Jul 21, 2023Biophysics

Comparison of the human's and camel's erythrocyte deformability by optical tweezers and Raman spectroscopy

T. Pesen, M. Haydaroglu, S. Capar, U. Parlatan, M. B. Unlu

This study compares human and camel red blood cell deformability and chemical composition using optical tweezers and Raman spectroscopy, finding significant differences in mechanical properties and spectral profiles.

bioRxiv · Aug 2, 2022 · PreprintBiophysics

Quantification of salt stress in wheat leaves by Raman spectroscopy and machine learning

I. Kecoglu, M. Sirkeci, A. Sen, M. B. Unlu, U. Parlatan, F. Guzelcimen

This paper uses Raman spectroscopy combined with machine learning to quantify salt stress in wheat leaves and predict stress levels accurately.

bioRxiv · Jan 7, 2022Biophysics

Raman Signal Denoising using Fully Convolutional Encoder Decoder Network

I. Loc, I. Kecoglu, M. B. Unlu, U. Parlatan

This paper introduces a fully convolutional encoder-decoder network for Raman signal denoising, achieving better performance than traditional methods with reduced exposure times.

bioRxiv · Jan 7, 2022 · PreprintBiochemistry