The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Textile processing units largely employ azo dyes which are derivatives of benzene. Toxic sewage discharged from textile industries contains azo dyes. They affect soil fertility, water resources, marine organisms and the ecosystem. Benzedine is responsible for skin irritation and also increases the toxicity in blood and bone marrow which affects the production of blood cells and hence leads to anemia...
The shape of red blood cells (RBCs) contributes to clinical diagnoses of blood diseases. The field of medical imaging has become more important because of the increasing need for automated and efficient diagnoses within a short period of time. Imaging technique plays an important role in RBC research for hematology. Classification is an important component of the retrieval system which allows one...
The counting of Red Blood Cells (RBC), White Blood Cells (WBC) and platelet of human blood in microscopic image can provide useful information concerning the health of the patient. The conventional methods used in laboratories to detect and diagnose the problem were very slow and prone to get inaccuracy in result. Digital image processing can detect and recognize different diseases and make it easy...
Cell segmentation in microscopy imagery is essential for many biomedical applications. In this paper, a novel level set based technique is proposed for segmenting the differential interference contrast (DIC) red blood cell microscopy images. Based on the framework of subjective surfaces, a local complex phase based edge indicator function is introduced to replace the traditional gradient-based edge...
Automated cell counting is a required task which helps examiners in evaluating blood smears. A problem is that clumped cells usually appear in images with various degree of overlapping. This study presents a new method for effectively splitting clumped cells using value in distance transform of image to quickly detect central point. Additionally, a boundary-covering degree of each point is applied...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.