Trained Eyes vs Mechanical Objectivity: Enhancing Professional Vision in Embryo Imaging

• In Event: Visual (In)Sensibilities I

Abstract

Exploring the case of IVF (In Vitro Fertilization), the paper investigates two different models of professional visions’ inscription in Biomedical Imaging Technologies (BITs). This contribution stems from a research project that investigates the case of Time-Lapse Photography (TLP) in fertility treatments, which allows professionals and patients to see embryos at a very early stage. TLP is now available for monitoring the development of embryos and is used as a support in deciding which embryos to transfer.
The present contribution focuses on the development and stabilization of two models:
- Support Machines, supposed to enhance the embryologists’ professional vision, such as Embryoscope. This is a special incubator that includes a camera and a computer system to visualise the embryos in the labs. The criteria to select the best embryos are defined by each laboratory where this device is used. The assumption seems to be that the role of the embryologists cannot be replaced by a software.
- Automated Machines, which select better quality embryos through an algorithm, such as Eeva (Early Embryo Viability Assessment). As reported on the producer’s website “the Eeva Test was designed to provide your IVF team with reliable, objective information to select embryos with greater confidence”. In this case, the automated selection process is perceived as more reliable than human assessment.
Our aim is to explore the contraposition between, on one hand, the use of BITs as a substitute of professional vision and, on the other, as its enhancement. Through document analysis (producers’ and clinics’ websites, promotional videos, patients’ and doctors’ testimonials, and newspapers’ articles) we examine how these machines mediate the creation of knowledge about the body and its understanding.

Author

• Manuela Perrotta, Queen Mary, University of London