HIGH-THROUGHPUT IHC IMAGE ANALYSIS
Is manual counting and measurement limiting the reliability, productivity, and validity of your research?
We're here to help!
We specialize in the analysis of digital images captured for skeletal muscle fiber histological analyses.
This is primarily accomplished by harnessing the power of computer science using custom-written pipelines through CellProfiler open-sourced software and statistical software for the reliable, valid, and high-throughput measurement of histological attributes.
Common dependent variables include:
a) muscle fiber cross-sectional area
b) myonuclear number
c) satellite cell number
d) protein expression
e) fiber-type specific attributes (e.g., MHC-I, IIa, and IIx myonuclear number, satellite cell number, or protein expression)
Other analyses include, but are not limited to:
a) cultured cell analyses
b) western blot images
c) analysis of other tissue types (e.g., adipose cell cross-sections)
Our work has been published in multiple, peer-reviewed, scientific publications and we are constantly striving to improve the precision and speed by which data are supplied to researchers to move Science forward.