Geometric reduction of high amount histological image data

Kapitány, Kristóf [Kapitány, Kristóf (Térinformatika), szerző] Fotogrammetria és Térinformatika Tanszék (BME / ÉMK)

Angol nyelvű Tudományos Konferenciaközlemény (Könyvrészlet)
    The latest imaging devices are the results of long term developments and there are several applications for accurate geometric modeling. Apart from macromolecular structure analyses, application of synchrotron X-ray microtomography (XMT) is a new and promising area in the biosciences. XMT includes the analysis of images, however, prior to apply in simulation or in diagnostic intensive research is required. This paper presents a method, how to obtain information from the recent TOMCAT experimental instrument (built in 2006), and how to manage its huge amount of image data. Object reconstruction from biological data has several difficulties and numerous images have to be processed. The procedure has clinical relevance; the images were taken of neural tissue samples. These samples are taken by a procedure called micro-punch; the tiny samples are mechanically cut from specially prepared tissues of the brain. This paper presents a digital-punch method to extract the valuable information from the noisy images, supporting object reconstruction applications. The main purpose of this method is to obtain enough data to create a geometrically accurate and topologically correct vessel network of the cerebral cortex.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2021-08-03 21:19