The correlation between uptake of Methyl Green and Feulgen staining intensity of cell nuclei. An image analysis study

1989 ◽  
Vol 21 (8) ◽  
pp. 508-513 ◽  
Author(s):  
Hans Lyon ◽  
Erik Schulte ◽  
Poul Erik Hoyer
Keyword(s):  
Image Analysis ◽  
Staining Intensity ◽  
Methyl Green ◽  
Cell Nuclei ◽  
Feulgen Staining ◽  
Analysis Study

scholarly journals High-throughput microfluidic micropipette aspiration device to probe time-scale dependent nuclear mechanics in intact cells

Lab on a Chip ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 3652-3663 ◽  
Author(s):  
Patricia M. Davidson ◽  
Gregory R. Fedorchak ◽  
Solenne Mondésert-Deveraux ◽  
Emily S. Bell ◽  
Philipp Isermann ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
Time Scale ◽  
Viscoelastic Properties ◽  
Micropipette Aspiration ◽  
Automated Image Analysis ◽  
Cell Nuclei ◽  
Intact Cells ◽  
Nuclear Mechanics ◽  
Analysis Platform

We report the development, validation, and application of an easy-to-use microfluidic micropipette aspiration device and automated image analysis platform that enables high-throughput measurements of the viscoelastic properties of cell nuclei.

scholarly journals Comparison of the Papanicolaou and Feulgen staining methods for DNA quantification by image analysis

Cytometry ◽  
1990 ◽  
Vol 11 (4) ◽  
pp. 468-474 ◽  
Author(s):  
A. M. Gurley ◽  
D. F. Hidvegi ◽  
J. W. Bacus ◽  
S. S. Bacus
Keyword(s):  
Image Analysis ◽  
Dna Quantification ◽  
Feulgen Staining ◽  
Staining Methods

scholarly journals An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections

Cytometry ◽  
2003 ◽  
Vol 55A (1) ◽  
pp. 30-42 ◽  
Author(s):  
Constantinos G. Loukas ◽  
George D. Wilson ◽  
Borivoj Vojnovic ◽  
Alf Linney
Keyword(s):  
Image Analysis ◽  
Cancer Cell ◽  
Cell Nuclei ◽  
Tissue Sections

scholarly journals From the slit-island method to the Ising model: Analysis of irregular grayscale objects

2014 ◽  
Vol 24 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Przemysław Mazurek ◽  
Dorota Oszutowsk A-M Ażurek
Keyword(s):  
Image Analysis ◽  
Fractal Dimension ◽  
Ising Model ◽  
Image Data ◽  
Input Image ◽  
Cell Nuclei ◽  
Cervical Cell ◽  
Atypical Cells ◽  
Model Context ◽  
Slit Island Method

Abstract The Slit Island Method (SIM) is a technique for the estimation of the fractal dimension of an object by determining the area- perimeter relations for successive slits. The SIM could be applied for image analysis of irregular grayscale objects and their classification using the fractal dimension. It is known that this technique is not functional in some cases. It is emphasized in this paper that for specific objects a negative or an infinite fractal dimension could be obtained. The transformation of the input image data from unipolar to bipolar gives a possibility of reformulated image analysis using the Ising model context. The polynomial approximation of the obtained area-perimeter curve allows object classification. The proposed technique is applied to the images of cervical cell nuclei (Papanicolaou smears) for the preclassification of the correct and atypical cells.

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