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I'll be giving a free webinar to address optical density and 
morphometric measurement for color brightfield images.  The method that 
will be discussed goes over a means to create consistent images from 
multiple microscope sessions so that only a single threshold value needs 
to be applied when segmenting images for quantification.  It includes a 
linearity check for color brightfield camera systems (myself and 
colleagues have found camera systems that produce non-linear images in 
software or firmware at several labs we have visited).

If you know of labs that would benefit from this information, let them know.

Cheers,
Jerry Sedgewick

Read on for more:


  Morphometry and Density/Intensity Readings: Avoid Errors in Quantification

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    Tuesday, October 21, 2014 1:00 PM - 1:30 PM EDT


      Webinar Registration: https://www2.gotomeeting.com/register/945357514

Introduction by Michael Linden, MD, PhD
(Assistant Professor, Laboratory Medicine and Pathology, University of 
Minnesota, Minneapolis, MN)

Presenter: Jerry Sedgewick
(Imaging and Analysis, LLC; author, consultant and recognized authority 
in post-processing, analysis and quantification of scientific images)


If you have done quantitation, you know that inconsistent images require 
subjective means for setting thresholds when segmenting objects for 
measurement. You need an objective method to set thresholds for 
measurement of area, length, count, etc., and be able to apply that 
method across multiple images.

When quantifying densities and intensities, it is imperative that images 
contain equal increments of grey or color values across the dynamic 
range (image linearity). Can you trust your images? A recent survey 
found that approximately 50% of color camera systems offer software 
settings that can result in non-linear color images. If you've been 
quantifying immunostained cells or cellular structures (i.e. DAB, 
BCIP/NBT, X-Gal, etc.), you may have presented false data.

This webinar explores quantitative methods that employ a single 
threshold for any number of color brightfield images. You will learn how 
to create consistent images, without subjective adjustments, for 
subsequent quantization. You will learn how to confirm your imaging 
system delivers scientific images that are linear. You will also learn 
how to correct images taken over a time course while keeping tones and 
colors linear.