Publications by authors named "Markus Reischl"

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Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation.
Luca Rettenberger, Nathan J Szymanski, Andrea Giunto, Olympia Dartsi, Anubhav Jain, Markus Reischl

NPJ Comput Mater· September 2025

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Improving 3D deep learning segmentation with biophysically motivated cell synthesis.
Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl

Commun Biol· January 2025

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A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level.
Mario Vitacolonna, Roman Bruch, Richard Schneider, Julia Jabs, Mathias Hafner, Markus Reischl

BMC Cancer· December 2024

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From to : a pipeline for generating virtual tissue simulations from real image data.
Elina Nürnberg, Mario Vitacolonna, Roman Bruch, Markus Reischl, Rüdiger Rudolf

Front Mol Biosci· September 2024

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A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types.
Mario Vitacolonna, Roman Bruch, Ane Agaçi, Elina Nürnberg, Tiziana Cesetti, Markus Reischl

Front Bioeng Biotechnol· August 2024

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Using the High-Entropy Approach to Obtain Multimetal Oxide Nanozymes: Library Synthesis, Structure-Activity, and Immunoassay Performance.
Thuong Phan-Xuan, Simon Schweidler, Steffen Hirte, Moritz Schüller, Ling Lin, Markus Reischl

ACS Nano· July 2024

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Image-based recognition of parasitoid wasps using advanced neural networks.
Hossein Shirali, Jeremy Hübner, Robin Both, Michael Raupach, Markus Reischl

Invertebr Syst· June 2024

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TRIM11 expression in non-small cell lung cancer is associated with poor prognosis.
Christiane Kuempers, Tobias Jagomast, Finn-Ole Paulsen, Carsten Heidel, Sabine Bohnet, Markus Reischl

Histol Histopathol· April 2024

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Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation.
Ivy Mayer, Tina Karimian, Klavdiya Gordiyenko, Alessandro Angelin, Ravi Kumar, Markus Reischl

Nano Lett· February 2024

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Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation.
Luca Rettenberger, Marcel Schilling, Stefan Elser, Moritz Bohland, Markus Reischl

IEEE Trans Biomed Eng· September 2023

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Repurposing FDA-Approved Drugs for Temozolomide-Resistant IDH1 Mutant Glioma Using High-Throughput Miniaturized Screening on Droplet Microarray Chip.
Haijun Cui, Xueyuan Sun, Marcel Schilling, Christel Herold-Mende, Markus Reischl

Adv Healthc Mater· September 2023

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AISeg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets.
Marcel P Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo Lopez, Markus Reischl

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.
Roman Bruch, Florian Keller, Moritz Böhland, Mario Vitacolonna, Lukas Klinger, Markus Reischl

PLoS One· April 2023

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Automated high-throughput image processing as part of the screening platform for personalized oncology.
Marcel P Schilling, Razan El Khaled El Faraj, Joaquín Eduardo Urrutia Gómez, Steffen J Sonnentag, Fei Wang, Markus Reischl

Sci Rep· March 2023

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Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug-Resistant Bacteria.
Wenxi Lei, Anke Deckers, Charlotte Luchena, Anna Popova, Markus Reischl

Adv Biol (Weinh)· December 2022

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KaIDA: a modular tool for assisting image annotation in deep learning.
Marcel P Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl

J Integr Bioinform· December 2022

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Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now.
Mark Schutera, Luca Rettenberger, Markus Reischl

Zebrafish· December 2022

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Droplet Microarray Based Screening Identifies Proteins for Maintaining Pluripotency of hiPSCs.
Yanxi Liu, Sarah Bertels, Markus Reischl, Ravindra Peravali, Martin Bastmeyer

Adv Healthc Mater· September 2022

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Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure.
Franz F Dressler, Johannes Brägelmann, Markus Reischl, Sven Perner

Mol Cell Proteomics· September 2022

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[Pilot study examining a profession-oriented rehabilitation concept for nursing professions].
Christine Wittmann, Lilia Papst, Markus Reischl, Katja Welsch, Michael Käfer

Z Psychosom Med Psychother· June 2022

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"Cells-to-cDNA on Chip": Phenotypic Assessment and Gene Expression Analysis from Live Cells in Nanoliter Volumes Using Droplet Microarrays.
Shraddha Chakraborty, Charlotte Luchena, Jonathan J Elton, Marcel P Schilling, Markus Reischl

Adv Healthc Mater· June 2022

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Simple assessment of viability in 2D and 3D cell microarrays using single step digital imaging.
Anna A Popova, Markus Reischl, Daniel Kazenmaier, Haijun Cui, Timo Amberger

SLAS Technol· February 2022

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Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels.
Mark Schutera, Luca Rettenberger, Christian Pylatiuk, Markus Reischl

PLoS One· February 2022

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Equilibrium droplet shapes on chemically patterned surfaces: theoretical calculation, phase-field simulation, and experiments.
Yanchen Wu, Mariia Kuzina, Fei Wang, Markus Reischl, Michael Selzer

J Colloid Interface Sci· January 2022

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Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.
Moritz Böhland, Lars Tharun, Tim Scherr, Ralf Mikut, Veit Hagenmeyer, Markus Reischl

PLoS One· November 2021

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