ImageJ plug-ins for microscopic image processing

J. Mikulka
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引用次数: 10

Abstract

The article deals with initial research into the methods of microscopic image processing methods for the study of diverticular disease. Functional and structural changes were found in tissues of persons afflicted with diverticular disease in previous medical research. The acquired images were processed manually. The goal of research into image processing methods for automatic or semiautomatic processing followed by manual supervision is to simplify and speed-up the image processing and evaluation of object parameters. The research is focused on increasing the accuracy of and speeding up the evaluation of tissue properties. ImageJ plug-ins implementing the proposed algorithms were developed for five kinds of image processing: circular muscle layer, longitudinal muscle layer, myenteric plexus layer, interstitial cells in myenteric plexus layer and interstitial cells of cajal in smooth muscle layer.
用于显微图像处理的ImageJ插件
本文对憩室疾病的显微图像处理方法进行了初步研究。在以往的医学研究中,发现憩室病患者的组织中存在功能和结构变化。采集的图像进行手工处理。研究自动或半自动处理后人工监督的图像处理方法的目的是简化和加快图像处理和对象参数评估。研究的重点是提高组织特性评估的准确性和速度。针对圆形肌层、纵肌层、肌丛层、肌丛层间质细胞和平滑肌层cajal间质细胞5种图像处理,开发了实现该算法的ImageJ插件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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