Quantitative Analysis of Brewster-Angle Microscope Images of Tilt Order in Langmuir Monolayer Domains

Langmuir ◽  
1995 ◽  
Vol 11 (8) ◽  
pp. 3184-3188 ◽  
Author(s):  
Mei-Wei Tsao ◽  
Thomas M. Fischer ◽  
Charles M. Knobler
Keyword(s):  
Quantitative Analysis ◽  
Langmuir Monolayer ◽  
Brewster Angle ◽  
Microscope Images

Shear-induced optical anisotropy in a Langmuir monolayer: A Brewster angle reflectivity study

1999 ◽  
Vol 111 (15) ◽  
pp. 6982-6990 ◽  
Author(s):  
Nicolas Cuvillier ◽  
Christophe Mingotaud ◽  
Keiichi Ikegami
Keyword(s):  
Optical Anisotropy ◽  
Langmuir Monolayer ◽  
Brewster Angle

scholarly journals Automated Nuclear Lamina Network Recognition and Quantitative Analysis in Structured Illumination Super-Resolution Microscope Images Using a Gaussian Mixture Model and Morphological Processing

Photonics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 119
Author(s):  
Yiwei Chen ◽  
Zhenglong Sun ◽  
Yi He ◽  
Xin Zhang ◽  
Jing Wang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Super Resolution ◽  
Nuclear Lamina ◽  
Gaussian Mixture ◽  
Morphological Processing ◽  
Structured Illumination ◽  
Automated Method ◽  
Microscope Images

Studying the architecture of nuclear lamina networks is significantly important in biomedicine owing not only to their influence on the genome, but also because they are associated with several diseases. To save labor and time, an automated method for nuclear lamina network recognition and quantitative analysis is proposed for use with lattice structured illumination super-resolution microscope images in this study. This method is based on a Gaussian mixture model and morphological processing. It includes steps for target region generation, bias field correction, image segmentation, network connection, meshwork generation, and meshwork analysis. The effectiveness of the proposed method was confirmed by recognizing and quantitatively analyzing nuclear lamina networks in five images that are presented to show the method’s performance. The experimental results show that our algorithm achieved high accuracy in nuclear lamina network recognition and quantitative analysis, and the median face areas size of lamina networks from U2OS osteosarcoma cells are 0.3184 μm2.

Three-dimensional display and quantitative analysis of multidimensional light microscope images

1996 ◽  
Author(s):  
Lowell D. Harris ◽  
William Galbraith ◽  
Patricia A. Feineigle ◽  
D. Lansing Taylor
Keyword(s):  
Quantitative Analysis ◽  
Light Microscope ◽  
Three Dimensional ◽  
Microscope Images ◽  
Three Dimensional Display

Quantitative Analysis Of Microscope Images

1984 ◽  
Author(s):  
Kenneth R. Castleman ◽  
Donald G. Winkler
Keyword(s):  
Quantitative Analysis ◽  
Microscope Images
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