A5033486577- 3D Printing in Biomedical Research
- Cell Image Analysis Techniques
- Pluripotent Stem Cells Research
- Advanced Chemical Sensor Technologies
- Biochemical Analysis and Sensing Techniques
- Cellular Mechanics and Interactions
- Cancer Cells and Metastasis
- Neuroscience and Neural Engineering
- T-cell and B-cell Immunology
- Neurological disorders and treatments
- Image Processing Techniques and Applications
- Neuroendocrine regulation and behavior
- Amyotrophic Lateral Sclerosis Research
- AI in cancer detection
- Muscle Physiology and Disorders
- Anesthesia and Neurotoxicity Research
- Olfactory and Sensory Function Studies
- Viral Infectious Diseases and Gene Expression in Insects
- 3D Shape Modeling and Analysis
- Cancer-related molecular mechanisms research
- Computer Graphics and Visualization Techniques
- Advanced Fluorescence Microscopy Techniques
- Immune Cell Function and Interaction
- Mathematical Biology Tumor Growth
- Immune cells in cancer
Mannheim University of Applied Sciences
2017-2025
University Hospital Heidelberg
2017-2020
Central Institute of Mental Health
2017-2020
Heidelberg University
2017-2020
Three-dimensional cell cultures, such as spheroids and organoids, serve increasingly important models in fundamental applied research start to be used for drug screening purposes. Optical tissue clearing procedures are employed enhance visualization of fluorescence-stained organs, tissues, three-dimensional cultures. To get a more systematic overview about the effects applicability optical on we compared six different / embedding protocols seven types spheroid- chip-based cultures...
Abstract Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed accurate feature extraction single-cell level. However, this requires for precise segmentation of 3D datasets, which in turn demands high-quality ground truth training. Manual annotation, the gold standard data, is too time-consuming thus not feasible generation large training datasets. To address this, we present...
Abstract Spheroids have become principal three-dimensional biological models to study cancer, developmental processes, and drug efficacy. For spheroid generation, ultra-low attachment plates are noteworthy due their simplicity, compatibility with automation, experimental commercial accessibility. Nonetheless, it is unknown whether what degree the plate type impacts formation biology. This employed automated brightfield microscopy systematically compare size eccentricity of spheroids formed...
3D cell culture models replicate tissue complexity and aim to study cellular interactions responses in a more physiologically relevant environment compared traditional 2D cultures. However, the spherical structure of these makes it difficult extract meaningful data, necessitating advanced techniques for proper analysis. In silico simulations enhance research by predicting behaviors therapeutic responses, providing powerful tool complement experimental approaches. Despite their potential,...
Abstract 3D cell culture models replicate tissue complexity, aiming to study cellular interactions and responses in a more physiologically relevant environment compared traditional 2D cultures. However, the spherical structure of these makes it difficult extract meaningful data, necessitating advanced techniques for proper analysis. In silico simulations enhance research by predicting behaviors therapeutic responses, providing powerful tool complement experimental approaches. Despite their...
Biomedical research increasingly relies on 3D cell culture models and AI-based analysis can potentially facilitate a detailed accurate feature extraction single-cell level. However, this requires for precise segmentation of datasets, which in turn demands high-quality ground truth training. Manual annotation, the gold standard data, is too time-consuming thus not feasible generation large training datasets. To address this, we present novel framework generating integrates biophysical...
Familial amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disorder that due to mutations in one of several target genes, including SOD1 . So far, clinical records, rodent studies, and vitro models have yielded arguments for either primary motor neuron disease, or pleiotropic pathogenesis ALS. While mouse lack the human origin, using induced pluripotent stem cells (hiPSC) been recently developed addressing ALS pathogenesis. In spite improvements regarding generation muscle...
Spheroids have become principal three-dimensional models to study cancer, developmental processes, and drug efficacy. Single-cell analysis techniques emerged as ideal tools gauge the complexity of cellular responses in these models. However, single-cell quantitative assessment based on 3D-microscopic data subcellular distribution fluorescence markers, such nuclear/cytoplasm ratio transcription factors, has largely remained elusive. For spheroid generation, ultra-low attachment plates are...
This report demonstrates a novel class of innate immune cells designated "variable immunoreceptor-expressing myeloids" (VIREMs). Using single-cell transcriptomics and genome-wide epigenetic profiling, we establish that VIREMs are myeloid unrelated to lymphocytes. We visualize the phenotype B-VIREMs capable genetically recombining expressing antibody genes, exclusive hallmark function B These cells, B-VIREMs, display monoclonal cell surface signatures regularly circulate in blood healthy...
BACKGROUND: Major pathomechanisms underlying neurodegenerative diseases, such as Parkinson's Disease, are still not well understood.Induced human pluripotent and rodent embryonic stem cells provide powerful disease models to address neurodegeneration-inducing on a molecular cellular level.OBJECTIVE: Our aim is establish refined protocol generate healthy patient donor cell-derived dopaminergic neurons investigate events in vitro.METHODS: Human donor-and patient-derived induced were...