Mikut R - Search Results

1

A large and diverse brain organoid dataset of 1,400 cross-laboratory images of 64 trackable brain organoids.

Schröter J, Deininger L, Lupse B, Richter P, Syrbe S, Mikut R, Jung-Klawitter S. Schröter J, et al. Among authors: mikut r. Sci Data. 2024 May 20;11(1):514. doi: 10.1038/s41597-024-03330-z. Sci Data. 2024. PMID: 38769371 Free PMC article.

2

Wide-field mosaics of the corneal subbasal nerve plexus in Parkinson's disease using in vivo confocal microscopy.

Badian RA, Allgeier S, Scarpa F, Andréasson M, Bartschat A, Mikut R, Colonna A, Bellisario M, Utheim TP, Köhler B, Svenningsson P, Lagali N. Badian RA, et al. Among authors: mikut r. Sci Data. 2021 Nov 26;8(1):306. doi: 10.1038/s41597-021-01087-3. Sci Data. 2021. PMID: 34836991 Free PMC article.

3

Real-time large-area imaging of the corneal subbasal nerve plexus.

Allgeier S, Bartschat A, Bohn S, Guthoff RF, Hagenmeyer V, Kornelius L, Mikut R, Reichert KM, Sperlich K, Stache N, Stachs O, Köhler B. Allgeier S, et al. Among authors: mikut r. Sci Rep. 2022 Feb 15;12(1):2481. doi: 10.1038/s41598-022-05983-5. Sci Rep. 2022. PMID: 35169133 Free PMC article.

4

A stochastic oscillator model simulates the entrainment of vertebrate cellular clocks by light.

Kumpošt V, Vallone D, Gondi SB, Foulkes NS, Mikut R, Hilbert L. Kumpošt V, et al. Among authors: mikut r. Sci Rep. 2021 Jul 14;11(1):14497. doi: 10.1038/s41598-021-93913-2. Sci Rep. 2021. PMID: 34262086 Free PMC article.

5

3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus.

Allgeier S, Bartschat A, Bohn S, Peschel S, Reichert KM, Sperlich K, Walckling M, Hagenmeyer V, Mikut R, Stachs O, Köhler B. Allgeier S, et al. Among authors: mikut r. Sci Rep. 2018 May 10;8(1):7468. doi: 10.1038/s41598-018-25915-6. Sci Rep. 2018. PMID: 29749384 Free PMC article.

6

A New Feedback-Based Method for Parameter Adaptation in Image Processing Routines.

Khan AU, Mikut R, Reischl M. Khan AU, et al. Among authors: mikut r. PLoS One. 2016 Oct 20;11(10):e0165180. doi: 10.1371/journal.pone.0165180. eCollection 2016. PLoS One. 2016. PMID: 27764213 Free PMC article.

7

BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.

Scherr T, Streule K, Bartschat A, Böhland M, Stegmaier J, Reischl M, Orian-Rousseau V, Mikut R. Scherr T, et al. Among authors: mikut r. Bioinformatics. 2020 Nov 1;36(17):4668-4670. doi: 10.1093/bioinformatics/btaa594. Bioinformatics. 2020. PMID: 32589734 Free PMC article.

8

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.

Schott B, Traub M, Schlagenhauf C, Takamiya M, Antritter T, Bartschat A, Löffler K, Blessing D, Otte JC, Kobitski AY, Nienhaus GU, Strähle U, Mikut R, Stegmaier J. Schott B, et al. Among authors: mikut r. PLoS Comput Biol. 2018 Apr 19;14(4):e1006128. doi: 10.1371/journal.pcbi.1006128. eCollection 2018 Apr. PLoS Comput Biol. 2018. PMID: 29672531 Free PMC article.

9

Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.

Böhland M, Tharun L, Scherr T, Mikut R, Hagenmeyer V, Thompson LDR, Perner S, Reischl M. Böhland M, et al. Among authors: mikut r. PLoS One. 2021 Sep 22;16(9):e0257635. doi: 10.1371/journal.pone.0257635. eCollection 2021. PLoS One. 2021. PMID: 34550999 Free PMC article.

10

Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines.

Stegmaier J, Mikut R. Stegmaier J, et al. Among authors: mikut r. PLoS One. 2017 Nov 2;12(11):e0187535. doi: 10.1371/journal.pone.0187535. eCollection 2017. PLoS One. 2017. PMID: 29095927 Free PMC article.

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