Biography
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Osama S. Abbadi
Department of Biochemistry, Faculty of Medicine, Omdurman Islamic University, Sudan
*Correspondence to: Dr. Osama S. Abbadi, Department of Biochemistry, Faculty of Medicine, Omdurman Islamic University, Sudan. Current address: Riyadh city, Saudi Arabia. P.O.Box: 22490, Riyadh 11426.
Copyright © 2019 Dr. Osama S. Abbadi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Collagen is the most abundant protein. It is distributed in almost all body tissues and serves
structural and functional roles. The measuring techniques of collagen do not display a percentage
of the protein unless it is in a soluble form. It would be useful to obtain a percent measurement of
collagen level within the tissue of interest.
To estimate collagen concentration in histology slides by the use of Adobe® Photoshop® software,
and comparing the results between three different histological stains.
Skin samples were taken from twelve albino mice and stained with masson’s trichrome, van Gieson,
and Verhoeff van Gieson’s stains to visualize collagen fibers. Slides were photographed with high resolution digital cameras at (x40) magnification. The software program enabled us to isolate the
part of the photos with collagen and to calculate the percent of that part from the total photo.
The mean percent of collagen were for the Masson’s trichrome 39.98%, for the van Gieson 41.3%,
and 35.97% for the Verhoeff van Gieson stain. Statistically the differences between mean percents
were not significant.
Adobe® Photoshop® software can present a simple method to measure collagen concentration in
digitally photographed histology slides.
Introduction
Collagen is the most common protein to be found in human body; it represents almost one-third of the
protein bulk [1,2]. Collagen could be found as fibers, filamentous mesh, or in spherical shapes. Under
electron microscope, collagen appear as straight fibrils of different lengths and diameters [1]. Collagenserveas
basement membrane element, giving strength to tissues such as tendons, skin, and bones. It also gives shape
to tissues, and acts as cell signaling molecules [3]. The biochemical structure of collagen is comprised of
the amino acid glycine alternating with a proline or hydroxyproline, and any amino acid, in the main fiber;
this structure was designated as the Gly-X-Y structure of Collagen [3,4]. Nowadays, there are 28 different
proteins designated as collagens [2,3,5].
Under light microscopy, collagen appears as thin fibers of red or blue color, according to the used staining method. The tri-chrome stain of Masson gives collagen a blue color [6], whereas it appears bright red with van Gieson stain [7]. While originally designed to visualize elastic fibrils, Verhoeff van Gieson stain will also demonstrate collagen in red [8]. Because van Gieson’s stain is simpler, it is more preferable than the Masson’s trichrome [9]. Picrosirius red stain is still used in collagen stains, and proved to be more effective in visualizing the thin fibers [10,11]. The concentration of a soluble form of collagen could be measured by the Lowry’s method [12-14], or modified Lowry’s method [15]. Lowry’s method involves precipitation of proteins from a solution, re-hydrolyzing the protein using alkaline solution, colorimetric analysis, and blotting the wavelength of the test result in a standard curve comparing protein color development against time [12]. Lowry’s modified technique adds initial heating of protein [15].
Histological stains give visual data about collagen pattern and content, but they don’t give numerical information. Despite that Lowry and modified Lowry’s method gives a percent of collagen; they require that it is presented in a tube, also the precision of pH and reagent concentration is important to achieve an accurate measurement.
Few computer soft-wares have been used recently to quantify and isolate molecules in the pathological slides. Boone et al. (2000) used a computer image program to measure the neoplastic levels in rats; they agreed to that tile grading of histological slides through software is superior to the pathologist’s experienced eyes in grading rats oesophageal neoplasias [16]. The 2006 work of Xu and Pitot used software programs to study hepatocytes, and further improvement in the picture quality was achieved by background manipulation and pixel refinement [17]. Calvi et al. studied collagen in muscle for morphometric analysis using the UTHSCSA Image Tool 3.0 software. The software enabled the researchers to quantify muscle collagen from slides stained with Immunohistochemical stains and routine collagen stains [18].
Study Objective
In this study we tried to test Adobe® Photoshop® ability, as a software program, to provide both figurative distribution and concentration of the protein collagen in histology slides.
Materials and Method
Twelve albino mice were used to obtain skin specimens. The mice were euthanized after tissue extraction.
Initially the mice were anaesthetized by inhalation of Diethyl ether solution in an isolated chamber. A
skin sample, with an area of 1cm2 each, was taken from each mouse. Samples were preserved in 10%
formaldehyde, and two days later they were immersed in Paraffin blocks. Tissues were cut using Leica®
microtome. Histological staining was performed to the samples: Five Masson’s trichrome stain slides. This
method is used for the detection of collagen fibers in tissues. The collagen fibers will be stained blue and the
nuclei will be stained black and the background is stained red [6]. See figure (1)
Three Van Gieson’s stain slides. This stain is used to visualize collagen that appears as a bright red color, while nuclei will appear blue [7]. See figure (2)
Four Verhoeff van Gieson’s stain slides. Usually used for demonstration of elastic fibers that appears blueblack to black, in distinction from collagen which appears in red [8]. See figure (3)
The slides were visualized using light microscope and photographed, in four random sites, through an attached digital camera. Imaging sites were chosen randomly, provided that it will contain all the skin layers. The Lens magnification was x40.
The collagen that appeared in the images was measured as follows: Using Adobe® Photoshop® CS. version 8.0, the target field for measurement was selected, then through the (magic wand) tool on the tool bar, the area to be measured is right-clicked by the mouse. If the area was extensively irregular, the (magnetic lasso) better to be used instead because it allows the operator to manually select his target. The area will be shaded by intermittent dots, and the (Info) window on the right side will show how much-in percent- that area covers of a space in the W (Width) and H (Height) axis as part of the entire slide. The areas of interest are selected repeatedly and subtracted from the total slide area, and the number obtained will represent the concentration of the collagen in that slide, in percent.
Results
Using Masson’s trichrome stain, the collagen concentration scored a mean of 39.9% of the total slide size, while van Gieson’s stained slides gave a mean Collagen concentration of 41.32%, and Verhoeff van Gieson’s stain was 35.97%; statistically, the differences between these means were insignificant, and the critical F value was remarkably higher than the calculated F value ; see table (1).
Discussion
The study aimed to measure collagen concentration in histological slides of albino mice skin by Adobe®
Photoshop software. Thirty eight slides with different histological stains were used in the experiment. The
staining procedures were performed by expert personnel, and the collagen concentration difference measured
through the software was statistically insignificant, which suggest that the software properly isolated
collagen in the slides. Sensitivity of this test depends mostly on the staining procedure, while the specificity
is dependent on the software and the person operating it. The measured concentrations of collagen slides
recorded a total mean of (39.1%), but since there were no previous studies concerning collagen concentrations
in albino mice skin, this result couldn’t be compared and certified. The above method can be useful
in measurement of collagen, or any other molecule, in a particularly targeted site within a slide or a tissue
sample. It also can provide a method of follow up in treatment progress, as in scar healing trials, or in disease
prognosis. It also offers a mean for concentration measurements of molecules in skin and other tissues.
The software used in Boone et al., in 2000, was able to calibrate different image of both normal and tumor bearing histological tiles, using CAS 200 system and a multi-scan image recorder bound to the microscope [16]. The study adopted four tumor characters to be detected through the program: piling of nuclei, presence or absence of what is known as (absorbance holes), increased DNA density, and chromatin dysmorphism16. The end result was obtained by calculating each feature occurrence in comparison with normal oesophageal epithelium. In the Adobe® Photoshop® study, the measurement of collagen was direct and manual, there was no control comparison, single molecule was targeted, and the result was displayed in percent. The Calvi et al., study, held in 2012, was targeting both quantitative and morphometric analysis of muscle collagen in human cadavers [18]. They used the UTHSCSA Image Tool 3.0 that has the ability to calculate collagen concentration in histology slide, in addition to performing morphometric analysis. The similarity between Image tool 3.0 and Adobe® Photoshop® is that both programs can isolate certain sections of the slide image and represent that area as a percent of the total image [18]. Steps of our study in order to reach a mean percent of collagen concentration could be summarized in three main steps: digital imaging of the slides, manual selection of collagen patches within the slides and sequentially record the area of the selected patch, and thirdly, the summation of the total area of collagen, which will be divided by 100. Unlike the 2006 Xu and Pitot study, there were no image enhancement, no background rectification, object confinement, or pixel splitting. In fact, Adobe® Photoshop® was also used by Xu and Pitot as a reserve for the manipulated photos [17]. The purifying steps would offer more accurate results, and pixel separation would provide optimum outlining for collagen particles. However, background correction is of limited value in collagen molecules measurement, since the Adobe® Photoshop® (magic wand) and (magnetic lasso) tools distinguish the background perfectly. The step by step summation of areas of collagen from the slides in Adobe® Photoshop® software could be a time consuming process that masks out the simplicity of the procedure, but time could be markedly lessened by the use of two calculators simultaneously, and a help from a colleague.
Drawbacks of this method include that its invasiveness for human subjects, since an area of skin should be extracted. The sensitivity and specificity of the software should be re-evaluated. The accuracy of the result depends solely on the experience of the histologist and the slides photographer. Moreover, there was no distinction between different subtypes of the protein.
Conclusion
Collagen density could be measured in a histology slide using the software Adobe® Photoshop® CS version
8.0. It is convenient to say that similar programs are capable of detecting the collagen density in histology
slides. Other visible biomolecules, such as Elastin and Fibrin, also could be measures in percents. The
technique needs approval, and the software needs more development regarding color specificity and slide
area definition.
Bibliography
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