Automated Collagen Segmentation from Masson’s Trichrome Stained Images—Preliminary Results

Serbănescu, M; Teică, Rossy Vlăduţ; Tarata, M.; Georgescu, D.; Alexandru, D; Manea, Nicolae Cătălin; Wolf, W.; Pleşea, Răzvan Mihail; Pleşea, Iancu Emil

doi:10.1007/978-981-13-6207-1_26

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…For the Goldner’s trichrome staining, we used a threshold algorithm that separated the background (white) from the foreground, and a red-green switch to segment the remaining pixels in red or green based on the dominant value, followed by a color post-processing procedure developed by Şerbănescu et al (2018) [ 38 ].…”

Section: Methodsmentioning

confidence: 99%

Assessment of the aortic tunica media histological changes in relation with the cause of death

Şeicaru,

Liţescu,

Gherghiceanu

et al. 2023

Rom J Morphol Embryol

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Aim: The authors set out to evaluate the correlations between three of the main morphological aortic parameters (elastic fibers – FE, collagen fibers – FCOL, and smooth muscle fibers – FM) and the cause of death. Materials and Methods: Study groups included 25 cases died of a vascular disease (V_P), 37 cases died of a non-vascular disease (NV_P) and 28 cases died of a violent/suspect non-pathological cause of death (V_Dth), the latter group representing also the control group. Four aortic cross-sections (base, arch, thoracic, and abdominal regions) were collected during autopsy from the selected cases, fixed in 10% buffered formalin and first of all photographed together with a calibrating ruler. Then, they were embedded in paraffin, sectioned off at 4 μm and stained with Hematoxylin–Eosin (HE) and Orcein. The obtained histological slides were transformed into virtual slides. Fibrillary components amounts were using a custom-made software, developed in MATLAB (MathWorks, USA). Statistical tools used were Pearson’s correlation test, t-test (two-sample assuming equal variances) and one-way analysis of variance (ANOVA) test. Results and Discussions: The amounts of the three fibrillary components of the aortic tunica media had a synchronous variation in all aortic regions in each of the three groups, excepting FCOL in the group of patients died from vascular pathology, which presented only a trend of synchronous variation along the aorta. FE had their lowest values and FCOL had their highest values in patients died from vascular pathology. FCOL had always higher levels than FE in people died from any pathological condition, vascular or non-vascular. FM had always at least two times lower level than that of the other types of fibers, regardless of whether the person died due to a pathological condition or not. Conclusions: The different pathological conditions causing death are influencing the fibrillary composition of aortic tunica media. Further studies are required to reveal other changes in the morphology of aortic wall in particular and vascular wall in general that could be related with different pathological conditions affecting the entire organism.

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Section: Methodsmentioning

confidence: 99%

Assessment of the aortic tunica media histological changes in relation with the cause of death

Şeicaru,

Liţescu,

Gherghiceanu

et al. 2023

Rom J Morphol Embryol

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“…▪ The algorithm retuned the segmented image and the percentage of each interest class: red percentage, and background percentage (Figure 3). For the Goldner's trichrome staining, we used a threshold algorithm that separated the background (white) from the foreground, and a red-green switch to segment the remaining pixels in red or green based on the dominant value, followed by a color post-processing similar with what we have developed in previously [26].…”

Section: Figure 2 -Windows Of Aperio Imagescope Program: (A) Selection Of Areas For Measurement Of Different Fibrillary Components Of Aormentioning

confidence: 99%

Assessment of the aortic wall histological changes with ageing

Albu

Pharmacy²,

Şeicaru³

et al. 2021

Rom J Morphol Embryol

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Aim:The authors aimed to quantitatively assess the variation with age of three of the main components of the aortic wall, namely elastic fibers (FE) and collagen fibers [FC(COL)], and smooth muscle cells (SMCs). Materials and Methods: Four aortic cross sections (base, cross, thoracic, abdominal) were collected during autopsy from 90 cases of all ages, processed using the classical histopathological (HP) technique (formalin fixation and paraffin embedding) and stained with Orcein and Goldner's trichrome. The obtained histological slides were transformed into virtual slides. Quantitative measurements of the three components were made on identical regions of interest (ROIs) selected from two-paired slides stained with the above-mentioned techniques using custom-made software, developed in MATLAB (MathWorks, USA). Results and Discussions: FE revealed an obvious decreasing general trend with age, present at all four levels of investigation. Smooth muscle fibers (FM) density showed almost no variation with age regardless of the level at which the measurement was made. FC(COL) density had an obvious increasing trend with age, expressed in all four aortic regions FE densities and FM densities were higher in men than in women, while FC(COL) densities were higher in women than in men in three of the aortic regions excepting, in all cases, the cross region. Conclusions: There were differences between men and women concerning the composition of aortic wall cellular and extracellular compartments. FE and FC(COL) dominated the age-related remodeling process of the aortic wall. The process evolved in the same way in all regions of the aorta. Studies need to be continued to define more clearly this complex process of vascular wall remodeling with aging.

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Fractal Dimension Box-Counting Algorithm Optimization Through Integral Images

Serbănescu

2022

IFMBE Proceedings

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Automated Collagen Segmentation from Masson’s Trichrome Stained Images—Preliminary Results

Cited by 3 publications

References 2 publications

Assessment of the aortic tunica media histological changes in relation with the cause of death

Assessment of the aortic tunica media histological changes in relation with the cause of death

Assessment of the aortic wall histological changes with ageing

Fractal Dimension Box-Counting Algorithm Optimization Through Integral Images

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