Güliz TOZ, Pakize ERDOĞMUŞ, Kadri DÖNMEZ

JEL TEST YÖNTEMİ İLE KAN GRUBU TESPİTİ İÇİN BİR YAZILIM TASARIMI

Jel kan gruplama sistemi günümüzde en çok kullanılan kan gruplama yöntemlerinden biridir. Ülkemizde de oldukça yaygın bir şekilde kullanılan bu sistemin cihaz ve kitleri hâlihazırda ithal edilmektedir. Bu çalışmada jel kan gruplama sisteminin ülkemizde üretilebilmesi amacıyla bu sistemin bir parçası olan jel test okuyucu cihazının arayüz yazılımı geliştirilmiştir. Geliştirilen yazılım kan grubu tespiti için üzerinde 6 tüp bulunan jel test numunelerini kullanmaktadır. Bu yazılım ile ilk olarak numunelerin çekilen resimleri programa aktarılmakta ve devamında sayısal görüntü işleme teknikleri ile numunenin kan grubu tespiti yapılmaktadır. Geliştirilen yazılım her biri 8 farklı kan grubundan (A Rh(+), A Rh(-), B Rh(+), B Rh(-), AB Rh(+), AB Rh(-) ve O Rh(+), O Rh(-)) birini içeren örnek jel test numuneleri kullanılarak test edilmiştir. Elde edilen sonuçlar geliştirilen yazılımın kan grubu tespitini yüksek doğruluk oranı ile gerçekleştirebildiğini göstermiştir.

Anahtar Kelimeler:

Kan grubu, jel test yöntemi, arayüz tasarımı.

JEL TEST YÖNTEMİ İLE KAN GRUBU TESPİTİ İÇİN BİR YAZILIM TASARIMI

Gel blood grouping system is one of the most widely used methods of blood grouping systems. The devices and kits of this system which has also been widely used in our country are imported. In this study a software has been developed for the gel test reader device which is a part of the gel blood grouping system in order to manufacture the blood group system in our country. The developed software uses gel test samples which have 6 tubes for the detection of the blood groups. With this software, firstly the captured images of the samples are imported in the program and then the detection of blood group is achieved by using digital image processing techniques. The developed software has been tested by eight different gel test samples. Each of these samples includes one of the eight different blood groups (A Rh (+), A Rh (-), B Rh (+), B Rh (-), AB Rh (+), AB Rh (-) and O Rh (+), OR Rh (-)). The obtained results shown that the developed software can detect the blood groups with a high accuracy rate.

Keywords:

Blood groups, gel test method, user interface design.,

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