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Cell-IQ® Cell Imaging System Aids Fertility Research at Karolinska
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The Karolinska Institute’s Division of Obstetrics and Gynaecology is using Chip-Man Technologies’ Cell-IQ® live cell imaging and analysis platform to investigate mechanisms of infertility and oocyte maturation, as well as for development and characterization of human embryonic stem cell lines.
Professor Outi Hovatta explained: “Much of our research is concentrated on translational medicine, directly transferring our findings to clinical practice, both within the Karolinska University Hospital and further afield. My laboratory specializes in the preservation of fertility, looking at both oocyte maturation and stem cell differentiation to better understand the mechanisms involved.”
“The Cell-IQ system offers real advantages for this work, allowing accurate quantitation of results and significantly improving the quality of our data. This has allowed us to reproducibly perform experiments without extensive user intervention and without having to repeat tedious calculations. The system can recognize a wide range of cell types and processes, and has allowed us to make some exciting discoveries, identifying a lot of previously unknown aspects of cellular behavior, as well as the origin of some differentiated cell types. We have a very positive relationship with Chip-Man Technologies, working collaboratively on many of our projects. It is a good company to work with, and we certainly get the support we need.”
Professor Outi Hovatta explained: “Much of our research is concentrated on translational medicine, directly transferring our findings to clinical practice, both within the Karolinska University Hospital and further afield. My laboratory specializes in the preservation of fertility, looking at both oocyte maturation and stem cell differentiation to better understand the mechanisms involved.”
“The Cell-IQ system offers real advantages for this work, allowing accurate quantitation of results and significantly improving the quality of our data. This has allowed us to reproducibly perform experiments without extensive user intervention and without having to repeat tedious calculations. The system can recognize a wide range of cell types and processes, and has allowed us to make some exciting discoveries, identifying a lot of previously unknown aspects of cellular behavior, as well as the origin of some differentiated cell types. We have a very positive relationship with Chip-Man Technologies, working collaboratively on many of our projects. It is a good company to work with, and we certainly get the support we need.”
