Microfluidic automation improves oocyte recovery from follicular fluid of patients undergoing in vitro fertilization

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Authors: Baris R. Mutlu, Sabrina C. Civale, Joshua Diettrich, Neha Gupta, Thomas Barber, Mitchel Sayare, Alan S. Penzias, Michael M. Alper, Thomas L. Toth, Ravi Kapur, Mehmet Toner, Denny Sakkas
+1 more Emre Ozkumur
Cited by: 4
References: 55

Abstract

Infertility is a global health challenge affecting millions worldwide, and in vitro fertilization (IVF) remains the main treatment option. The increasing demand for IVF necessitates innovations that improve access, efficiency and outcomes. To address this need, we developed a microfluidic device (FIND-Chip) that automates the isolation and denudation of oocytes from follicular fluid (FF), a critical step in IVF workflow. In a clinical study involving 582 patients from four IVF centers, FIND-Chip was utilized to perform automated oocyte recovery from FF and revealed that in more than 50% of the cases functional and mature oocytes are inadvertently discarded under current clinical practice. These undetected oocytes successfully developed into high-quality blastocysts, thereby substantially expanding the embryo pool available for patients’ treatment. Notably, an oocyte that was retrieved by FIND-Chip from a clinically screened and discarded FF sample led to a live birth, highlighting the potential of microfluidic automation to enhance IVF success rates. The authors developed a microfluidic device, FIND-Chip, designed to automate and enhance oocyte recovery from follicular fluid, a process traditionally done manually. When used in clinical settings, the device recovered additional oocytes missed during manual screening, substantially increasing the number of viable oocytes available for in vitro fertilization.

Fields of Study & Subjects

Reproductive Biology and Fertility 3D Printing in Biomedical Research Microfluidic and Bio-sensing Technologies

Publication details

Journal / source
Nature Medicine
Publisher
Springer Science and Business Media LLC
Volume
32
Issue
3
Pages
906–914
Publication date
12 February 2026
Language
EN