Evidence map›Paper›PMID 42681384›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Evaluating Preimplantation Embryo Metabolism Through Imaging of Cellular Autofluorescence.

Darren J X Chow, Tiffany C Y Tan, Kishan Dholakia, Kylie R Dunning

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Darren J X ChowRobinson Research Institute, College of Health, Adelaide University, Adelaide, Australia.
Tiffany C Y TanRobinson Research Institute, College of Health, Adelaide University, Adelaide, Australia.
Kishan DholakiaCentre of Light for Life, Adelaide University, Adelaide, Australia.
Kylie R DunningRobinson Research Institute, College of Health, Adelaide University, Adelaide, Australia. kylie.dunning@adelaide.edu.au.ORCID http://orcid.org/0000-0002-0462-6479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical imaging offers a non-invasive approach for assessing embryo viability. This may be achieved through capturing fluorescence from endogenous fluorophores that are associated with cellular metabolism. By recording and analysing natural autofluorescence emitted by molecules involved in metabolism, such as NADH and FAD, this technique offers crucial insights into the metabolic state of embryos, in the absence of exogenous labels. This approach is particularly valuable for preimplantation embryos developed in vitro, where the ability to identify those with high developmental potential may lead to improved outcomes in a clinical setting. Light sheet microscopy has recently emerged as a powerful imaging modality suitable for recording autofluorescence from the developing embryo. In contrast to standard point-scanning (confocal) approaches, it only illuminates the plane of interest, minimising light exposure and photodamage while enabling rapid 3D image acquisition. These aspects make light sheet microscopy particularly well-suited for metabolic imaging of live preimplantation embryos. In this chapter, we describe a general procedure to perform metabolic imaging of live mammalian embryos using light sheet microscopy. This protocol enables direct observation of metabolic changes within embryos in a spatial manner and provides guidelines for optimising imaging parameters to ensure accuracy and reproducibility.

Indexed as

BlastocystOptical ImagingAnimalsEmbryonic DevelopmentFemaleMiceMicroscopy, ConfocalMicroscopy, FluorescenceNADNADAutofluorescenceConfocal microscopyLabel-freeLight sheet microscopyMetabolismMurine preimplantation embryoOptical imaging

Identifiers

PMID42681384

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.