Dataset.zip This dataset includes the raw and annotated images used to train a Stardist 2D deep learning model for segmentation of surface attached S.aureus as described in Effect of local topography on cell division of Staphylococci sp. Stardist2d_Model.zip Stardist 2D deep learning model for segmentation of surface attached S.aureus, obtained using the StarDist 2D ZeroCostDL4Mic notebook (v 1.12.3).If you find this data useful, please cite: - Main Article: Effect of local topography on cell division of Staphylococci sp. - In progress - ZeroCostDL4Mic: von Chamier, Lucas & Laine, Romain, et al. "Democratising deep learning for microscopy with ZeroCostDL4Mic." Nature Communications (2021). - StarDist 2D: Schmidt, Uwe, et al. "Cell d...
All light microscope images used for training and testing of the deep learning model developed in th...
Datasets for the paper Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Ba...
Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. We...
Training and test images of live S. aureus cells for the task of cell segmentation. Additional info...
\emph{Pseudomonas fluorescens} strain SBW25 is a model organism for microbial population biology, ec...
Mixed training and test images of S. aureus, E. coli and B. subtilis for cell segmentation using Sta...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
This is the raw data supporting the findings (both main text and supplementary) for our manuscript "...
Staphylococcus aureus is an important pathogen, giving rise to antimicrobial resistance in cell stra...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Surface engineering is a promising strategy to limit or prevent the formation of biofilms. The use o...
Training and test images of live, membrane-labeled S. aureus cells for prediction of SIM super-resol...
In this paper, we introduce a new method for the segmentation of bacterial colonies in solid agar pl...
Surface engineering is a promising strategy to limit or prevent the formation of biofilms. The use o...
<p>Z-stack image created by merging serial scans of thick tissue section (20 µm), viewed under 600x ...
All light microscope images used for training and testing of the deep learning model developed in th...
Datasets for the paper Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Ba...
Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. We...
Training and test images of live S. aureus cells for the task of cell segmentation. Additional info...
\emph{Pseudomonas fluorescens} strain SBW25 is a model organism for microbial population biology, ec...
Mixed training and test images of S. aureus, E. coli and B. subtilis for cell segmentation using Sta...
Cell migration and proliferation play an essential role in wound healing, development, and tumorigen...
This is the raw data supporting the findings (both main text and supplementary) for our manuscript "...
Staphylococcus aureus is an important pathogen, giving rise to antimicrobial resistance in cell stra...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Surface engineering is a promising strategy to limit or prevent the formation of biofilms. The use o...
Training and test images of live, membrane-labeled S. aureus cells for prediction of SIM super-resol...
In this paper, we introduce a new method for the segmentation of bacterial colonies in solid agar pl...
Surface engineering is a promising strategy to limit or prevent the formation of biofilms. The use o...
<p>Z-stack image created by merging serial scans of thick tissue section (20 µm), viewed under 600x ...
All light microscope images used for training and testing of the deep learning model developed in th...
Datasets for the paper Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Ba...
Deep learning is being increasingly applied for obtaining digital microscopy image data of cells. We...