Exemplary single image slices from time points pre-schizogony (t−2), schizogony start (t0) and schizogony end (tend) showing cytoplasmic marker pARL-GFP (green), nuclear marker NLS-mCherry (cyan), and thresholding masks generated for measuring respective areas and volumes. GFP mask was determined by automatic thresholding and mCherry by manual and visual adjustment. Shown is only z slice 11 of a stack of 20 slices to demonstrate segmentation, while analysis was carried out on the entire stack, which then contains all the nuclei. Contrast was adjusted for better visualization. Scale bar is 1 μm. (TIF)</p
A new method for segmenting white blood cells nuclei in microscopic images is presented. Challenges ...
Cytomics aims at understanding the functional relationships between cellular phenotypes (cytome) and...
International audienceThe authors are concerned with the segmentation of cytological images in order...
AbstractConsiderable advances in microscopy, biophysics, and cell biology have provided a wealth of ...
<p>Representative immunofluorescence images of the actin cytosketeleton and nuclei and the correspon...
Automatic cell segmentation has various applications in cytometry, and while the nucleus is often ve...
Abstract. Automatic cell segmentation has various applications in cytometry, and while the nucleus i...
We propose and implement a computer vision algorithm for detecting individual cells, including the a...
<p>For each frame we generate two images, a HOE image of the stained nuclei (<b>A</b>) and a GFP ima...
To better understand the impact of changes in nuclear architecture on nuclear functions, it is essen...
Biomedical imaging is now playing an increasingly important role in today's healthcare. It can be us...
Résumé. 2014 Une stratégie générale de segmentation combinant des critères locaux et globaux dans un...
<p>(<b>A</b>) Bright field and epifluorescence images showing GCaMP3 fluorescence channel, nls-mCher...
High-content screening is the systematic analysis of hundreds or thousands or images to extract phen...
Background Image segmentation is the process of partitioning an image into separate objects or regio...
A new method for segmenting white blood cells nuclei in microscopic images is presented. Challenges ...
Cytomics aims at understanding the functional relationships between cellular phenotypes (cytome) and...
International audienceThe authors are concerned with the segmentation of cytological images in order...
AbstractConsiderable advances in microscopy, biophysics, and cell biology have provided a wealth of ...
<p>Representative immunofluorescence images of the actin cytosketeleton and nuclei and the correspon...
Automatic cell segmentation has various applications in cytometry, and while the nucleus is often ve...
Abstract. Automatic cell segmentation has various applications in cytometry, and while the nucleus i...
We propose and implement a computer vision algorithm for detecting individual cells, including the a...
<p>For each frame we generate two images, a HOE image of the stained nuclei (<b>A</b>) and a GFP ima...
To better understand the impact of changes in nuclear architecture on nuclear functions, it is essen...
Biomedical imaging is now playing an increasingly important role in today's healthcare. It can be us...
Résumé. 2014 Une stratégie générale de segmentation combinant des critères locaux et globaux dans un...
<p>(<b>A</b>) Bright field and epifluorescence images showing GCaMP3 fluorescence channel, nls-mCher...
High-content screening is the systematic analysis of hundreds or thousands or images to extract phen...
Background Image segmentation is the process of partitioning an image into separate objects or regio...
A new method for segmenting white blood cells nuclei in microscopic images is presented. Challenges ...
Cytomics aims at understanding the functional relationships between cellular phenotypes (cytome) and...
International audienceThe authors are concerned with the segmentation of cytological images in order...