Automated morphological analysis of human sperms cells according to WHO standards using computer graphics and computer vision algorithms
Waqas Hussain
Air Univerisity, Pakistan
: J Diagn Tech Biomed Anal
Abstract
C urrently we have minimum one million hospitals all over the world but none of them have an application catering to sperm morphology. Microscopic evaluation of human sperm quality is a basic requirement of any diagnostic Fertility service, assisted conception (IVF) center or pathology laboratory. Human sperm is evaluated in terms of three key features, namely concentration (sperm count), motility (sperm speed) and morphology (individual sperm shape). Conventional manual microscopic analysis of sperm samples is time consuming (1-2 hours) and lacks accuracy and reproducibility in many IVF centers. Motility and concentration are handled with variable degrees of efficiency (Tomlinson et al 2010) but morphological or individual sperm health and abnormality detection is still missing from the automated software tools. The manual testing for morphology in labs according to world health organization (WHO) standards is labeled flawed by the anthology and fertility researchers due to the following Problems: 1. A dye has to be injected in the immobilized sample so the microscope can pick the Sperms heads well at 1000x magnifications using oil immersion. The dye may transform. The natural morphological characteristics of the original cells. 2. Too much time has to be consumed as 1000x magnification means looking at only a couple of sperms per slide. And if we follow WHO standards at least 200 sperms have to be analyzed, so a lot of images form the microscope has to be taken and processed.
Biography
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