Image pro plus hematoxylin and eosin software#

We have been trying to recognize and quantify various types of histopathological findings and have pursued quantification of morphometric changes of pathological specimens.

Image pro plus hematoxylin and eosin software#

Automated diagnostic software for some cancer tissues is being developed for clinical applications. Recently, histopathological changes were analyzed in detail by image analysis software equipped with machine learning 6 and a programmed tool 7, 8. Image processing software can analyze more complex tissue images. With the development of information technology, digital pathology has also developed, and whole slide images are easily acquired using a virtual slide scanner. In the 1990’s, pathological images were digitized, and the histopathological changes were measured by image analysis software as an accurate numeric value 4, 5. Quantification of histopathological changes using morphometry has been performed for some time. Automatic quantification will also lead to a reduction in time and increased data. One solution to these problems is to quantify the morphological changes of pathological tissue automatically, leading to improvement of objectivity, reliability, and robustness. Furthermore, pathological and morphological analyses require special expertise, so researchers without pathological knowledge can have trouble interpreting the data. Bias in the evaluation can occur between individuals and between facilities, and a pathological evaluation requires a great deal of time. Pathological evaluation of tissue specimens is of utmost importance, but it is usually performed qualitatively or semiquantitatively by pathologists 2, 3. Conversely, when no abnormality on pathological investigation is observed, it is possible to approve a new drug with confidence. Development of new drugs often fails due to drug toxicity, despite a potentially high efficacy. Pathological examination is the only way to directly confirm drug efficacy and toxicity through the observation of tissue specimens in both clinical and nonclinical situations 1. These methodologies are expected to form a base system that can recognize morphometric features and analyze quantitatively pathological findings through the use of information technology. Adipocyte size and the mean linear intercept could be quantified easily and efficiently using morphological processing and the macro tool equipped in Image-Pro Plus. Mononuclear inflammatory cell infiltration in the liver could be quantified to some extent, except for specimens with many clustered infiltrating cells. Vacuoles derived from phospholipid could not be quantified when small lipid deposition coexisted in the liver and adrenal cortex. Using Image-Pro Plus, lipid-derived vacuoles in the liver and mucin-derived vacuoles in the intestinal mucosa could be quantified using two criteria (area and/or roundness). Using Tissue Studio, hypertrophy of hepatocytes and adrenocortical cells could be quantified based on the method of a previous report, but the regions of red pulp, white pulp, and marginal zones in the spleen could not be recognized when using one setting condition. In this experiment, we examined whether morphometric changes of major pathological findings in various tissue specimens stained with hematoxylin and eosin could be recognized and quantified using image processing software. In evaluating pathological changes in drug efficacy and toxicity studies, morphometric analysis can be quite robust.