日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Improving 3D deep learning segmentation with biophysically motivated cell synthesis.

利用生物物理启发式细胞合成改进 3D 深度学习分割

Bruch Roman, Vitacolonna Mario, Nürnberg Elina, Sauer Simeon, Rudolf Rüdiger, Reischl Markus

Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation

利用未标记的扫描电镜数据集和自监督学习来增强粒子分割效果

Rettenberger, Luca; Szymanski, Nathan J; Giunto, Andrea; Dartsi, Olympia; Jain, Anubhav; Ceder, Gerbrand; Hagenmeyer, Veit; Reischl, Markus

Using the High-Entropy Approach to Obtain Multimetal Oxide Nanozymes: Library Synthesis, In Silico Structure-Activity, and Immunoassay Performance

利用高熵方法制备多金属氧化物纳米酶:化合物库合成、计算机模拟构效关系及免疫分析性能

Phan-Xuan, Thuong; Schweidler, Simon; Hirte, Steffen; Schüller, Moritz; Lin, Ling; Khandelwal, Anurag; Wang, Kai; Schützke, Jan; Reischl, Markus; Kübel, Christian; Hahn, Horst; Bello, Gianluca; Kirchmair, Johannes; Aghassi-Hagmann, Jasmin; Brezesinski, Torsten; Breitung, Ben; Dailey, Lea Ann

Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation

表面图案化的DNA折纸标尺揭示表皮生长因子受体激活的纳米尺度距离依赖性

Mayer, Ivy; Karimian, Tina; Gordiyenko, Klavdiya; Angelin, Alessandro; Kumar, Ravi; Hirtz, Michael; Mikut, Ralf; Reischl, Markus; Stegmaier, Johannes; Zhou, Lu; Ma, Rui; Nienhaus, Gerd Ulrich; Rabe, Kersten S; Lanzerstorfer, Peter; Domínguez, Carmen M; Niemeyer, Christof M

From in vitro to in silico: a pipeline for generating virtual tissue simulations from real image data

从体外到计算机模拟:利用真实图像数据生成虚拟组织模拟的流程

Nürnberg, Elina; Vitacolonna, Mario; Bruch, Roman; Reischl, Markus; Rudolf, Rüdiger; Sauer, Simeon

Automated high-throughput image processing as part of the screening platform for personalized oncology

自动化高通量图像处理作为个性化肿瘤筛查平台的一部分

Schilling, Marcel P; El Khaled El Faraj, Razan; Urrutia Gómez, Joaquín Eduardo; Sonnentag, Steffen J; Wang, Fei; Nestler, Britta; Orian-Rousseau, Véronique; Popova, Anna A; Levkin, Pavel A; Reischl, Markus

Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking

用于训练和基准测试的大规模三维细胞培养三维显微图像合成

Bruch, Roman; Keller, Florian; Böhland, Moritz; Vitacolonna, Mario; Klinger, Lukas; Rudolf, Rüdiger; Reischl, Markus

Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure

标准化:基于方差和数据固有相关结构的蛋白质组学标准化

Dressler, Franz F; Brägelmann, Johannes; Reischl, Markus; Perner, Sven

KaIDA: a modular tool for assisting image annotation in deep learning

KaIDA:一款用于辅助深度学习图像标注的模块化工具

Schilling, Marcel P; Schmelzer, Svenja; Klinger, Lukas; Reischl, Markus

Designing Inherently Photodegradable Cell-Adhesive Hydrogels for 3D Cell Culture

设计用于三维细胞培养的固有光降解细胞粘附水凝胶

Rosenfeld, Alisa; Göckler, Tobias; Kuzina, Mariia; Reischl, Markus; Schepers, Ute; Levkin, Pavel A