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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/945357514Introduction 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.
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