Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells
Automatic cell segmentation has various applications in cytometry, and while the nucleus is often very distinct and easy to identify, the cytoplasm provides a lot more challenge. A new combination of image analysis algorithms for segmentation of cells imaged by fluorescence microscopy is presented....
Saved in:
Main Authors: | Carolina Wählby, Joakim Lindblad, Mikael Vondrus, Ewert Bengtsson, Lennart Björkesten |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2002-01-01
|
Series: | Analytical Cellular Pathology |
Online Access: | http://dx.doi.org/10.1155/2002/821782 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Fluorescent Label in Polymer Nanofibers
by: Lucie Zarybnicka, et al.
Published: (2017-01-01) -
Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis
by: Petter Ranefall, et al.
Published: (1998-01-01) -
Enhancement of Fluorescent Labeling via a Composited Thin Film
by: Taikei Suyama, et al.
Published: (2014-01-01) -
Biological Characteristics of Fluorescent Superparamagnetic Iron Oxide Labeled Human Dental Pulp Stem Cells
by: Liang Ma, et al.
Published: (2017-01-01) -
Inflammatory Bowel Disease with Cytoplasmic-Staining Antineutrophil Cytoplasmic Antibody and Extensive Colitis
by: Hugh James Freeman
Published: (1998-01-01)