Showing posts with label analyze. Show all posts
Showing posts with label analyze. Show all posts

Wednesday, February 13, 2019

Analysis of an Antibiogram




In this case study based on the article entitled Single bacterial super-clone behind world epidemic of drug-resistant E. coli of M. McCarthy [Link], there is an image of an Antibiotic Susceptibility Testing and the question is: "Is it possible to automatically detect the wafers and the inhibitory areas?"...

Wednesday, August 2, 2017

Analyze: Analyze Particles




In the menu Analyze, the Analyze Particles... is the headquarters of all the various measurements you can do. Here is a brief explanation of the main features of this dialog window.

Friday, December 12, 2014

Analyze: Width Distribution using EDM



 Estimating the largest width as in the previous post [Link] is interesting but in most cases, we want a distribution of widths...

Analyze: Calculating the width of an object



After the length [Link], the other important parameter to measure is the width of the object of interest. This can be deduced from the euclidean distance map (EDM). Here are some examples...

Thursday, December 11, 2014

Analyze: Pixel connectivity - Part II



Second part about pixel connectivity. How to precisely measure a length by counting pixels with Analyze > Analyze Particles... ?


Monday, December 8, 2014

Analyze: Pixel connectivity



In a previous post [Link], we were able to measure a distance between two points or the length of a sample by counting the number of pixels thanks to Analyze > Analyze Particles... . However, the result is directly dependent of the pixel connectivity...

Friday, December 5, 2014

Measuring the length of a sample


One of the simplest parameter to measure in a segmented - binary - image is the length of your sample (a molecule, cellular or subcellular components, fibers, etc.).
I'll describe two techniques (manual and automatic) to get such information.

Thursday, March 7, 2013

Analyze


Table of Contents

Analyze objects of interest is the last step of a usual pipeline of image processing and allows to quantify or describe image features...