Extraction of fluorescent cell puncta by adaptive fuzzy segmentation

Motivation: The discrimination and measurement of fluorescent-labeled vesicles using microscopic analysis of fixed cells presents a challenge for biologists interested in quantifying the abundance, size and distribution of such vesicles in normal and abnormal cellular situations. In the specific app...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Bioinformatics Ročník 20; číslo 14; s. 2189 - 2196
Hlavní autoři:	Pham, Tuan D., Crane, Denis I., Tran, Tuan H., Nguyen, Tam H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Oxford University Press 22.09.2004 Oxford Publishing Limited (England)
Témata:	Algorithms Artificial Intelligence Biological and medical sciences Cell Line Cluster Analysis Fibroblasts - cytology Fibroblasts - metabolism Fundamental and applied biological sciences. Psychology Fuzzy Logic General aspects Humans Image Interpretation, Computer-Assisted - methods Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Microscopic analysis Microscopy, Fluorescence - methods Pattern Recognition, Automated - methods Peroxisomes - metabolism Peroxisomes - ultrastructure Reproducibility of Results Sensitivity and Specificity Human Cell organelle Segmentation Image processing Distribution Fluorescence Peroxisome Population Extraction Method Bioinformatics
ISSN:	1367-4803, 1460-2059, 1367-4811
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!