Sperminator: Computer Aided Sperm Analysis

Project Logo
Project Facts
Funded By: ICT RnD, Pakistan
Funded Amount: PKR: 17.5 Million
Area: Medical Image Analysis
Principal Investigator: Dr. Asad Naeem
Team: Imran Ihsan, Faisal Fayyaz Kiyani
For: Innovative Research Pvt. Ltd.
Status: Completed
Tools & Technologies
Visual Studio 2010,
C#, Access,
Unity, Wix,
AForge library,
Unibrain and PointGray
camera SDKs
Project Abstract
Classification of Human Spermotozoa using state of the art image processing techniques involving object detection and tracking algorithms.
A commercial application that performs repeatable and accurate analysis of human spermatozoa by automatically finding each sperm and then tracking individual sperm to calculate its displacement accurate to the nearest micrometers using high speed cameras mounted on microscopes. The application is intended for over 250 fertility clinics only in UK, not to mention pathology labs. Dr. Tomlinson Matthews (Head of Andrology Department, Queens Medical Center, Nottingham, UK) collaborated and Dr. Matthews sent medical test equipment to Pakistan for testing and development worth around 8000 GBP already. Automated computer aided sperm analysis system validated properly in clinical trials. The clinical trials were held at University of Nottingham Hospital, University of Liverpool and University of Cambridge.
Project Interface
Project Poster
SKILLS
  • Research & Development 90%
  • Project Management 80%
  • Client Communication 80%
  • Team Management 85%
  • Microsoft Project and Visio 80%
  • GUI Design 90%
  • Web & Mobile Application 95%
  • CMS Design & Development 85%
PROGRAMMING SKILLS
  • HTML 5 90%
  • CSS 3.0 90%
  • PHP / MySQL 90%
  • JS / JQuery 85%
  • JAVA 60%
  • C# / ASP.NET 50%
  • SQL 95%
  • C++ 90%
SEMANTIC WEB
  • XML / XML Schema 90%
  • XPath / XQuery 90%
  • RDF / RDFs 90%
  • SPARQL 80%
  • OWL 80%