Name: Digital Phase Contrast on Primary Dermal Human Fibroblasts cells Data type: Paired microscopy images (Digital Phase Contrast, square rooted) and corresponding labels/masks used for cellpose training (the corresponding Brightfield images are also present), organized as recommended by cellpose documentation. Microscopy data type: Light microscopy (Digital Phase Contrast and Brighfield ) Manual annotations: Labels/masks obtained via manual segmentation. For each region, all cells were annotated manually. Uncertain objects (Dust, fused cells) were left unannotated, so that the cellpose model (10.5281/zenodo.6023317) may mimic the same user bias during prediction. This was particularly necessary due to the accumulation of floating debr...
Summary: Cell morphology is influenced by many factors and can be used as a phenotypic marker. Here ...
This dataset contains microscopic images of multiple cell lines captured by quantitative phase micro...
Download RDF PackageIntended Use A Mask R-CNN trained to detect and segment cells in 2D images. Imag...
Name: Phase contrast images of bacteria Data type: Paired microscopy images and corresponding labe...
Name: Cellpose models for Brightfield and Digital Phase Contrast images Data type: Cellpose models ...
Name: Cellpose model for Digital Phase Contrast images Data type: Cellpose model, trained via trans...
Abstract: Tumor cell morphology is closely related to its migratory behaviors. An active tumor cell ...
Cell culture monitoring necessitates thorough attention for the continuous characterization of culti...
Label-free quantitative measurement of morphological features of cells (e.g., size of nucleus, thick...
Modern technology has enabled monitoring of large populations of live cells over extended time perio...
Cell painting uses fluorescent agents to label the compositions or organelles of cells to evoke morp...
Non-destructive, quantitative evaluation of cell numbers in epithelial monolayers is necessary to mo...
Phase-contrast microscopy is one of the most common and convenient imaging modalities to observe lon...
imaging, 3D cell tracking Digital holographic microscopy (DHM) provides contact-less, label-free, qu...
Stain-free, single-cell segmentation and tracking is tantamount to the holy grail of microscopic cel...
Summary: Cell morphology is influenced by many factors and can be used as a phenotypic marker. Here ...
This dataset contains microscopic images of multiple cell lines captured by quantitative phase micro...
Download RDF PackageIntended Use A Mask R-CNN trained to detect and segment cells in 2D images. Imag...
Name: Phase contrast images of bacteria Data type: Paired microscopy images and corresponding labe...
Name: Cellpose models for Brightfield and Digital Phase Contrast images Data type: Cellpose models ...
Name: Cellpose model for Digital Phase Contrast images Data type: Cellpose model, trained via trans...
Abstract: Tumor cell morphology is closely related to its migratory behaviors. An active tumor cell ...
Cell culture monitoring necessitates thorough attention for the continuous characterization of culti...
Label-free quantitative measurement of morphological features of cells (e.g., size of nucleus, thick...
Modern technology has enabled monitoring of large populations of live cells over extended time perio...
Cell painting uses fluorescent agents to label the compositions or organelles of cells to evoke morp...
Non-destructive, quantitative evaluation of cell numbers in epithelial monolayers is necessary to mo...
Phase-contrast microscopy is one of the most common and convenient imaging modalities to observe lon...
imaging, 3D cell tracking Digital holographic microscopy (DHM) provides contact-less, label-free, qu...
Stain-free, single-cell segmentation and tracking is tantamount to the holy grail of microscopic cel...
Summary: Cell morphology is influenced by many factors and can be used as a phenotypic marker. Here ...
This dataset contains microscopic images of multiple cell lines captured by quantitative phase micro...
Download RDF PackageIntended Use A Mask R-CNN trained to detect and segment cells in 2D images. Imag...