China
Africa
Explore chapters and articles related to this topic
Microvascular Imaging Methods for Tissue Engineering
Published in Claudio Migliaresi, Antonella Motta, Scaffolds for Tissue Engineering, 2014
Benjamin W. Thimm, Sandra Hofmann, Ralph Müller
The following paragraph summarizes all present literature reviews about imaging methods for tissue engineering in general. Two-dimensional and 3D imaging in tissue engineering play a vital role in characterizing and monitoring the dynamic interactions, as engineered tissues develop in vitro, in situ, or in vivo. This is necessary to understand the interdependence of processes that ultimately lead to tissue products.8 Today, conventional histology combined with immunohistochemistry still presents the gold standard by which most tissue samples are evaluated.9 Histology, however, is of destructive nature and requires the sacrifice of valuable 3D tissue replicas especially in monitoring studies, thus limiting the applicability of samples for in vivo use. Therefore, the need for sensitive, noninvasive, and nondestructive imaging approaches for assessing the quality of the engineered tissues and organs prior to surgical implantation is crucial in 2D and 3D tissue engineering.10
High-Throughput Screening of Extracellular Matrix–Based Biomaterials
Published in Gilson Khang, Handbook of Intelligent Scaffolds for Tissue Engineering and Regenerative Medicine, 2017
Cintia D. S. Horinouchi, Willeke F. Daamen, Ruud A. Bank, Toin H. van Kuppevelt
After selection based on in vitro analysis data, the biomaterial must be evaluated in some in vivo trial using an appropriate animal model. In vivo evaluation is usually performed using general histology and immunohistology in order to assess a specific protein and using assays for functionality such as barrier function in the case of skin products. Histology is the key technology for the evaluation of the in vivo effect of biomaterials. It is basically easy to perform and most laboratories have access to the required equipment. Thus, extensive histological data from animal models are available.24 The histological process, however, may be time consuming and may require considerable experience, and the scoring process may be subjective.
Fundamentals of biology and thermodynamics
Published in Mohammad E. Khosroshahi, Applications of Biophotonics and Nanobiomaterials in Biomedical Engineering, 2017
In biology, tissue is a cellular organizational level intermediate between cells and a complete organ, as seen in Schematic 5.1. A tissue is an ensemble of similar cells from the same origin that together carry out a specific function. Organs are then formed by the functional grouping together of multiple tissues. The study of tissue is known as histology, and in connection with disease is called histopathology. The functions of many types of cells within tissues are coordinated, which collectively allows an organism to perform a very diverse set of functions, such as its ability to move, metabolize, reproduce, and conduct other essential functions. The various constituents forming tissue are (Khosroshahi 2011):
Multiclass histology image retrieval, classification using Riesz transform and local binary pattern features
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020
Histology is the microscopic study of the tissue samples, for clinical diagnosis of cancers. In the traditional histological analysis, histological slides (also called sections) are placed onto the glass slides and then examined under a microscope by pathologists. This assessment is relatively subjective and time-consuming. Nowadays, it is possible to capture and save histological slides as digital whole slide images (WSIs) by using whole slide digital scanners. This digitisation, causes the WSIs to be shared easily anywhere at any time and also provides an automated analysis of histological images in various fields such as detection, classification, and content-based image retrieval (CBIR) as research interest topics in recent years (Gurcan et al. 2009; Xue et al. 2011; Mosquera-Lopez et al. 2015; Vu et al. 2016; Kostopoulos et al. 2017). The aim of a CBIR system is to find and rank images that have the same visual contents like shape, colour, and texture. Through a CBIR system, pathologists will be able to access to similar images of the being examined case for further assessment and identification and it can be a supplementary tool in diagnostic by doing baseline comparisons. The recovering of the images can also be utilised in the field of learning to help pathology residents and medical students to learn about the biological tissues and diagnostic interpretation (Heidger et al. 2002).