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Editor-in-chief
Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

EIC Assistant
Francesco Busardò

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada


Publisher
Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Chiara Riva
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282
email: biochimica.clinica@sibioc.it

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ISSN print: 0393 – 0564
ISSN digital: 0392- 7091



BC: Articoli scritti da M. De Simone

The improvement of oocyte selection for social freezing application
<p>Lifestyle, educational opportunities, career choices and new unions lead to pregnancy in more advanced age, increasing the emerging preventive solution to freeze oocytes at a young age for later use. In this scenario, the oocyte selection has a great importance in order to choose the best ones capable of a good subsequent embryo development and implantation. The aim of this study was to develop a decision support system, able to classify oocytes according to a score based on morphological features and patients&rsquo; clinical data. The approach would offer a more effective selection method because it is not dependent on the doctor&rsquo;s experience or on an &ldquo;at-first-sight&rdquo; impression. As a first step, a prototype system able to support embryologists in oocyte selection was presented and an experimental evaluation on a real set of data provided. The developed pipeline included the identification of main morphological features influencing oocyte quality and the assignment of a weight and of a better way of measuring them. After that, a standard data format collecting in an organized way all morphological features of oocytes, zigote and embryos and patients&rsquo; clinical data was developed. More than 150 oocytes images, taken in standard and comparable conditions, from 35 women were collected. Morphological features were extracted manually and automatically. A preliminary version of the scoring algorithm was tested on these data.</p>
Biochimica Clinica ; 41(4) 353-357
Contributi scientifici - Scientific papers