An Improved Three-Dimensional Microscope Image Analysis Method for Studying Solvent Swelling of Single Coal Particles

2009 ◽  
Vol 23 (1) ◽  
pp. 342-348 ◽  
Author(s):  
Hong Gao ◽  
Jicheng He ◽  
Jiuju Cai ◽  
Masahiro Ishigaki ◽  
Masakatsu Nomura
1998 ◽  
Vol 12 (5) ◽  
pp. 881-890 ◽  
Author(s):  
Hong Gao ◽  
Levent Artok ◽  
Koh Kidena ◽  
Satoru Murata ◽  
Masahiro Miura ◽  
...  

2021 ◽  
Vol 1016 ◽  
pp. 1153-1158
Author(s):  
Aarne Pohjonen ◽  
Sami Koskenniska ◽  
Juha Uusitalo ◽  
Tun Tun Nyo ◽  
Jari Larkiola ◽  
...  

We have determined different phase fractions from microscopy images using semi-automated image analysis fitting technique, and in addition we have classified each phase according to its hardness. The distribution of grayscale pixels of different phases is first characterised separately for each phase, which are sampled from the microscope image. After this the distributions of the separate phases are fitted to give the corresponding distribution of the whole image. The microhardness measurement provides reliability on the classification of the different phases to ferrite, bainite or martensite. In addition to describing the applied techniques in detail, we present the results obtained from the analysis for one steel subjected to isothermal holding experiments at different temperatures.


2021 ◽  
Author(s):  
Arto Viitanen ◽  
Josef Gullmets ◽  
Jack Morikka ◽  
Pekka Katajisto ◽  
Jaakko Mattila ◽  
...  

ABSTRACTIntestine is divided into functionally distinct regions along the anteroposterior (A/P) axis. How the regional identity influences the function of intestinal stem cells (ISCs) and their offspring remain largely unresolved. We introduce an imaging-based method, ‘Linear Analysis of Midgut’ (LAM), which allows quantitative regionally defined cellular phenotyping of the whole Drosophila midgut. LAM transforms image-derived cellular data from three-dimensional midguts into a linearized representation, binning it into segments along the A/P axis. Through automated multi-variate determination of regional borders, LAM allows mapping and comparing cellular features and frequencies with subregional resolution. Through the use of LAM, we quantify the distributions of ISCs, enteroblasts and enteroendocrine cells in a steady state midgut, and reveal unprecedented regional heterogeneity in the ISC response to a Drosophila model of colitis. Taken together, LAM is a powerful tool for organ-wide quantitative analysis of the regional heterogeneity of midgut cells.Graphical abstract


MethodsX ◽  
2021 ◽  
pp. 101447
Author(s):  
Fabio Valoppi ◽  
Petri Lassila ◽  
Ari Salmi ◽  
Edward Haeggström

1989 ◽  
Vol 93 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Thomas J. Flotte ◽  
Johanna M. Seddon ◽  
Yuqing Zhang ◽  
Robert J. Glynn ◽  
Kathleen M. Egan ◽  
...  

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