ArticleScientific reports2019
Label-free assessment of pre-implantation embryo quality by the Fluorescence Lifetime Imaging Microscopy (FLIM)-phasor approach.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- From Static to Dynamic: Fluorescence Imaging Technology Advances Precise Embryo Evaluation.Small methods · 2026Review
- Label-free candidate dOCM biomarkers associated with blastocyst quality using total cell count as a proxy.Biomedical optics express · 2026Article
- Control theory analysis of dynamic metabolic response elucidates mitochondrial-cytoplasmic coupling and nutrient partitioning.bioRxiv : the preprint server for biology · 2026Article
- Innovations in assisted reproductive technology through the advances in artificial intelligence and image processing.Obstetrics & gynecology science · 2025Review
- Micro magnetic resonance spectroscopy for noninvasive metabolic screening of mammalian embryos and oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- HBimmCue: A Versatile Fluorescent Probe for Multi-Scale Imaging of Lipid Polarity and Membrane Order in Inner Mitochondrial Membrane.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Label-free metabolic fingerprinting of motile mammalian spermatozoa with subcellular resolution.BMC biology · 2025Article
- Advanced strategies for single embryo selection in assisted human reproduction: A review of clinical practice and research methods.Clinical and experimental reproductive medicine · 2025Article
- Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer.NPJ systems biology and applications · 2025Article
- Article
- Gene expression changes in blastocyst hatching affect embryo implantation success in mice.Frontiers in cell and developmental biology · 2025Article
- Merging Metabolic Modeling and Imaging for Screening Therapeutic Targets in Colorectal Cancer.bioRxiv : the preprint server for biology · 2024Article
- METAPHOR: Metabolic evaluation through phasor-based hyperspectral imaging and organelle recognition for mouse blastocysts and oocytes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- How great thou ART: biomechanical properties of oocytes and embryos as indicators of quality in assisted reproductive technologies.Frontiers in cell and developmental biology · 2024Review
- Noninvasive metabolic profiling of cumulus cells, oocytes, and embryos via fluorescence lifetime imaging microscopy: a mini-review.Human reproduction (Oxford, England) · 2023Review
- HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence.Nature methods · 2023Article
- FLUTE: A Python GUI for interactive phasor analysis of FLIM data.Biological imaging · 2023Article
- Label-free spatially maintained measurements of metabolic phenotypes in cells.Frontiers in bioengineering and biotechnology · 2023Article
- Early Detection of Cervical Cancer by Fluorescence Lifetime Imaging Microscopy Combined with Unsupervised Machine Learning.International journal of molecular sciences · 2022Article
- A Criterion of Colorectal Cancer Diagnosis Using Exosome Fluorescence-Lifetime Imaging.Diagnostics (Basel, Switzerland) · 2022Article
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6 authors.
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Abstract
Development of quantitative, safe and rapid techniques for assessing embryo quality provides significant advances in Assisted Reproductive Technologies (ART). Instead of assessing the embryo quality by the standard morphologic evaluation, we apply the phasor-FLIM (Fluorescence Lifetime Imaging Microscopy) method to capture endogenous fluorescent biomarkers of pre-implantation embryos as a non-morphological caliber for embryo quality. Here, we identify, under hypoxic and non-hypoxic conditions, the unique spectroscopic trajectories at different stages of mouse pre-implantation development, which is referred to as the developmental, or "D-trajectory", that consists of fluorescence lifetime from different stages of mouse pre-implantation embryos. The D-trajectory correlates with intrinsic fluorescent species from a distinctive energy metabolism and oxidized lipids, as seen with Third Harmonic Generation (THG) that changes over time. In addition, we have defined a non-morphological Embryo Viability Index (EVI) to distinguish pre-implantation embryo quality using the Distance Analysis (DA), a machine learning algorithm to process the fluorescence lifetime distribution patterns. We show, under our experimental conditions, that the phasor-FLIM approach provides a much-needed non-invasive quantitative technology for identifying healthy embryos at the early compaction stage with 86% accuracy. The DA and phasor-FLIM method may provide the opportunity to improve implantation success rates for in vitro fertilization clinics.
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