Mısra, SanjayDirvanauskas, DariusMaskeliunas, RytisRaudonis, VidasMisra, SanjayComputer Engineering2024-07-052024-07-0520200978303058814497830305881370302-97431611-334910.1007/978-3-030-58814-4_652-s2.0-85092933629https://doi.org/10.1007/978-3-030-58814-4_65https://hdl.handle.net/20.500.14411/3440Maskeliunas, Rytis/0000-0002-2809-2213; Misra, Sanjay/0000-0002-3556-9331; Dirvanauskas, Darius/0000-0001-5471-1893Time 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 whichwe 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.eninfo:eu-repo/semantics/closedAccessImage analysisSpatial modelFeature extractionConference Object12253772780WOS:000719714800065