ArticleNature medicine2026
Microfluidic automation improves oocyte recovery from follicular fluid of patients undergoing in vitro fertilization.
Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Automation in the gamete laboratory: have we reached a turning point?F&S reports · 2026Article
- Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.Materials today. Bio · 2026Review
- On AI's role in training professionals in assisted reproductive technology.Frontiers in artificial intelligence · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
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.
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Registered trials
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