One of the useful semi-automated analyses to perform image analysis is the Color-Based Image Segmentation using a cluster of pixels. Numerous recent studies show experimentally that automated evaluation can be used successfully in clinical practice and biomedical research (Kayser & Kayser, 2013 Ohlschlegel et al., 2013 Daunoravicius et al. The semi-automated analysis of images is considered a more reliable method than the simple and traditional visual evaluation, which depends to a large extent on the experience of the researcher and, in general, can not be reproduced. It provides users with functionalities and additional benefits to simple microscopic observation, replacing the subjective and qualitative visual evaluation-which could be affected by the quality of tissue staining-by more objectives, reproducible and quantifiable digital analyzes (Potts etal., 2010 Daunoravicius et al.), these advantages are similar to those presented by the stereological method. Semi-automated analysis of images is being developed for helping specialists in analysis of histological images obtained from biopsies for diagnoses and prognoses determination. However, semi-quantitative and semi-automated methods of collagen quantification have been introduced, one of these is the analysis of digital images (Daunoravicius et al., 2014).
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This conventional manual planimetry method has proven its value but it is laborious, and the result depends on the skill of the observer. Subsequently, the quantification of the types of collagens present in the tissue is possible through stereology. (2014) affirmed that the picrosirius network associated with morphometric image analysis "remains the most powerful method to study and quantify collagen" phrase that was discussed by Marcos et al. One of the most used methods to study the collagen network is Picrosirius Red Staining.
One of the most interesting situations in the field of histology and histopathology is the quantitative analysis of the collagen network in normal or pathological tissue, either in cases of hepatic or cardiac fibrosis or as a simple evaluation of the connective tissue of an organ. In recent years, with the growing demands of quantitative analysis, digital image processing techniques attract more and more attention from morphologists. In addition, the evaluation or visual score not only implies a heavy workload, but also has inherent consequences on obtained data such as intra- and inter-observer variation, resulting in low efficiency in histological analysis (Riber-Hansen et al., 2012).
Stereology: A Simple Comparison Between Two Semi-Automated Methods of Image Analysis for the Quantification of CollagenĬurrently, tissue processing and staining have been automated in the laboratory, and yet the subsequent analysis of histological images has not been done, with routine evaluations still performed by the trained eyes of a histologist. Retrieved from Ĭolor-Based Segmentation vs. Estereología: Una Comparación Simple entre Dos Métodos Semiautomáticos de Análisis de Imágenes para la Cuantificación del Colágeno.
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Estereología: Una Comparación Simple entre Dos Métodos Semiautomáticos de Análisis de Imágenes para la Cuantificación del Colágeno." The Free Library. MLA style: "Segmentación Basada en Colores vs.
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