AIMC Topic: Time-Lapse Imaging
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Deep learning neural network analysis of human blastocyst expansion from time-lapse image files.
Reproductive biomedicine online
Mar 6, 2021
RESEARCH QUESTION: Can artificial intelligence (AI) discriminate a blastocyst's cellular area from unedited time-lapse image files using semantic segmentation and a deep learning optimized U-Net architecture for use in selecting single blastocysts fo...
Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.
Journal of cellular and molecular medicine
Jan 24, 2021
Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization (IVF) practice. However, the process of evaluating numerous images captured by time-lapse imaging (TLI) system is time-consuming and some important ...
Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.
Reproductive biomedicine online
Dec 24, 2020
RESEARCH QUESTION: Can artificial intelligence and advanced image analysis extract and harness novel information derived from cytoplasmic movements of the early human embryo to predict development to blastocyst?
Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments.
Nature communications
Dec 7, 2020
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy's utility. Recently, it has been shown t...
Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential.
Fertility and sterility
Sep 8, 2020
OBJECTIVE: To describe novel embryo features capable of predicting implantation potential as input data for an artificial neural network (ANN) model.
Predictive Value of Tests
Blastocyst
Fertility
Image Interpretation, Computer-Assisted
Time-Lapse Imaging
Infertility
Single Embryo Transfer
Oocyte Donation
Pregnancy Rate
Fertilization in Vitro
Treatment Outcome
Embryo Implantation
Retrospective Studies
Pregnancy
Female
Time Factors
Humans
Neural Networks, Computer
CytoCensus, mapping cell identity and division in tissues and organs using machine learning.
eLife
May 19, 2020
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends conv...
Retina
Zebrafish
Embryo, Mammalian
Animals, Genetically Modified
Automation
Drosophila melanogaster
Cell Division
Tissue Culture Techniques
Machine Learning
Time Factors
Time-Lapse Imaging
Phenotype
Reproducibility of Results
Image Processing, Computer-Assisted
Brain
Microscopy, Video
Animals
Mice
Female
Male
Mutation
Organoids
Larva
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments.
Scientific reports
May 6, 2020
We describe a novel method to achieve a universal, massive, and fully automated analysis of cell motility behaviours, starting from time-lapse microscopy images. The approach was inspired by the recent successes in application of machine learning for...
Processing citizen science- and machine-annotated time-lapse imagery for biologically meaningful metrics.
Scientific data
Mar 26, 2020
Time-lapse cameras facilitate remote and high-resolution monitoring of wild animal and plant communities, but the image data produced require further processing to be useful. Here we publish pipelines to process raw time-lapse imagery, resulting in c...
A novel machine learning based approach for iPS progenitor cell identification.
PLoS computational biology
Dec 26, 2019
Identification of induced pluripotent stem (iPS) progenitor cells, the iPS forming cells in early stage of reprogramming, could provide valuable information for studying the origin and underlying mechanism of iPS cells. However, it is very difficult ...
Towards the automation of early-stage human embryo development detection.
Biomedical engineering online
Dec 12, 2019
BACKGROUND: Infertility and subfertility affect a significant proportion of humanity. Assisted reproductive technology has been proven capable of alleviating infertility issues. In vitro fertilisation is one such option whose success is highly depend...
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