Abstract
Time lapse microscopy offered new solutions to study embryo development process. It allows embryologist to monitor embryo growth in real time and evaluate them without interfering into their growth environment. Embryo evaluation during growth process is one of the key criteria in embryo selection for fertilization. Live embryo monitoring is time consuming and new tools are offered to automate part of process. Our proposed algorithm gives new possibilities for embryo monitoring. It uses embryo images which are taken from different embryo layers, extracts embryo cell features and returns metrical evaluation to compare different embryos. High number of extracted features shows embryo fragmentation. Other tool which we present is spatial embryo model. Features extracted from embryo layers are combined together to spatial model. It allows embryologist to examine embryo model and compare different layers in one space. The obtained spatial embryo model will be later used to develop new algorithms for embryo analysis tasks.
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The authors also would like to thank Esco Global for kindly provided embryo image dataset and Živilė Čerkienė for her expert opinion and helpful comments.
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The permit for ethical studies for using the human subject related materials was issued by the Ethics Committee of the Faculty of Informatics, in Kaunas University of Technology. The number of a permit is: IFEP201706-3.
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Dirvanauskas, D., Maskeliūnas, R., Raudonis, V., Misra, S. (2020). Embryo Spatial Model Reconstruction. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_65
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