Engaging in Areal Pattern Analysis Using Global and Local Statistics

2015 ◽  
pp. 202-241
2003 ◽  
Vol 24 (4-5) ◽  
pp. 779-790 ◽  
Author(s):  
Djamal Boukerroui ◽  
Atilla Baskurt ◽  
J.Alison Noble ◽  
Olivier Basset

2021 ◽  
Vol 912 ◽  
Author(s):  
Lei Yi ◽  
Federico Toschi ◽  
Chao Sun

Abstract


2000 ◽  
Vol 179 ◽  
pp. 155-160
Author(s):  
M. H. Gokhale

AbstractData on sunspot groups have been quite useful for obtaining clues to several processes on global and local scales within the sun which lead to emergence of toroidal magnetic flux above the sun’s surface. I present here a report on such studies carried out at Indian Institute of Astrophysics during the last decade or so.


Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.


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