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"Analyzing gels and western blots with ImageJ". lukemiller.org "Quantification of Western Blots Using ImageJ". How to WESTERN-BLOT "Image Studio Lite Software". licor.com. Archived from the original on 3 March 2014 "ImageJ" "MCID Core Digital Imaging Software".
ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin). [ 2 ] [ 3 ] Its first version, ImageJ 1.x, is developed in the public domain , while ImageJ2 and the related projects SciJava , ImgLib2 , and SCIFIO are ...
Western blot workflow. The western blot (sometimes called the protein immunoblot), or western blotting, is a widely used analytical technique in molecular biology and immunogenetics to detect specific proteins in a sample of tissue homogenate or extract. [1]
They are commonly used in both SDS-polyacrylamide gel electrophoresis and western blotting. In SDS-PAGE it allows for the monitoring of protein migration, as the protein bands will separate and can be seen during an electrophoretic run. In western blots, the stained protein standards allow for the visualization protein transfer onto the ...
Following electrophoresis, the gel may be stained (for proteins, most commonly with Coomassie brilliant blue R-250 or autoradiography; for nucleic acids, ethidium bromide; or for either, silver stain), allowing visualization of the separated proteins, or processed further (e.g. Western blot). After staining, different species biomolecules ...
Normalization of Western blot data is an analytical step that is performed to compare the relative abundance of a specific protein across the lanes of a blot or gel under diverse experimental treatments, or across tissues or developmental stages.
While Fiji was originally intended for neuroscientists (and continues to be so [8]), it accumulated enough functionality to attract scientists from a variety of fields, such as cell biology, [9] parasitology, [10] genetics, life sciences in general, materials science, etc.
It is generally accepted, that while label-free quantification is the least accurate of the quantification paradigms, it is also inexpensive and reliable when put under heavy statistical validation. There are two different methods of quantification in label-free quantitative proteomics: AUC (area under the curve) and spectral counting.