@techreport{oai:ipsj.ixsq.nii.ac.jp:00187498,
 author = {Andrey, Grushnikov and Takeo, Kanade and Yasushi, Yagi and Andrey, Grushnikov and Takeo, Kanade and Yasushi, Yagi},
 issue = {36},
 month = {May},
 note = {Cell analysis is one of the core procedures done frequently during the course of research in a number of fields, including bacteriology and embryology. It is often done manually, examining images gathered with a microscope. This approach is labor-intensive and lacks reproducibility, emphasizing the importance of an automatic solution for the cell analysis problem. This work presents image processing based automation solutions for two cell analysis problems: drug susceptibility testing and early-stage embryo segmentation. The first problem we solved for a recently introduced device, by processing its images that contained cells. Cells were detected, their features extracted and used as input for SVM predicting drug susceptibility. The solution of the second problem involved applying 3D level set with custom energy functions for processing Z-stacks of fluorescence microscopy images. Both tasks were implemented as stand-alone tools, showed high accuracy on the respective datasets., Cell analysis is one of the core procedures done frequently during the course of research in a number of fields, including bacteriology and embryology. It is often done manually, examining images gathered with a microscope. This approach is labor-intensive and lacks reproducibility, emphasizing the importance of an automatic solution for the cell analysis problem. This work presents image processing based automation solutions for two cell analysis problems: drug susceptibility testing and early-stage embryo segmentation. The first problem we solved for a recently introduced device, by processing its images that contained cells. Cells were detected, their features extracted and used as input for SVM predicting drug susceptibility. The solution of the second problem involved applying 3D level set with custom energy functions for processing Z-stacks of fluorescence microscopy images. Both tasks were implemented as stand-alone tools, showed high accuracy on the respective datasets.},
 title = {Automatic Image Analysis for Biomedical Research: Rapid Drug Susceptibility Testing and Investigation of Cell Specialization in Early Embryo},
 year = {2018}
}