High-Content Analysis Software
Intuitive software solutions for advanced results.
Featuring powerful machine learning functions, Yokogawa’s high content analysis software suite supports a variety of applications, providing users with advanced insights such as 3D image analysis and texture analysis. Equipped with label-free imaging analysis and digital phase contrast technologies, users can extract image data efficiently and accurately, enabling more objective, quantitative assessments.
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CellPathfinder
Cell imaging software supports label-free samples and provides multiple graphing options with a streamlined, easy-to-use interface.
Details
CV8000 Partner
Asia
Tekon Biotech
P.R.China, Hong Kong, Taiwan, Macao
Shanghai Genesci Medical technology Co.,Ltd.
People's Republic of China (excluding Hong Kong, Taiwan, Macao)
LBD Life Sciences China Limited.
People's Republic of China (excluding Hong Kong, Taiwan, Macao)
CQ1 Partner
Europe
Image Solutions, Ltd.
UK, Ireland, France, Spain, Portugal, Belgium, Netherlands, and Israel
Cenibra GmbH
Germany, Switzerland and Austria
OPTEC LLC
Russia, Ukraine, Kazakhstan, Belarus, Azerbaijan, Armenia, Georgia, Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, and Moldova
WITKO Sp. z o.o.,
Poland
North America
Yokogawa Corporation of America
North America, Mexico, Canada
Asia
Shanghai Genesci Medical technology Co.,Ltd.
People's Republic of China (excluding Hong Kong, Taiwan, Macao)
Tekon Biotech
People's Republic of China, Hong Kong, Taiwan, Macao
JCBIO CO., LTD
Republic of Korea (South Korea)
Cell Analysis Software and Cell Imaging Software Applications
- Colony Formation
- Scratch Wound
- Cytotoxicity
- Neurite Outgrowth
- Co-culture Analysis
- Cell Tracking
- Drug Discovery
Which software is used for high content analysis?
CellPathfinder is a powerful high content imaging tool. This cell image analysis software analyzes and digitizes complex high content imaging experiment data. Easily access multiple evaluation systems, from 3D culture systems to live imaging. The cell trace software utilizes machine learning functions to greatly increase target recognition and quicken turnarounds.
Resources
Applications: Colony Formation, Scratch Wound, Cytotoxicity, Neurite Outgrowth, Co-culture Analysis, Cell Tracking
The primary goal of high-content imaging is to extract more data from biological samples, including, but not limited to, size, shape, number, and intensity. Here, we describe how the use of Yokogawa’s CQ1 high-content imaging system with microlens-enhanced dual Nipkow disk-based spinning disk confocal, combined with SUN bioscience’s Gri3D® microwell plates, synergize to propel organoid imaging to new heights. Learn more now!
With 462 million affected individuals, diabetes and associated conditions consume about 12% of global health expenditure. Current treatments lack focus on the root cause—the loss of pancreatic insulin-producing beta-cells. This Michigan research team developed a robust, intact ex vivo pancreatic islet bioassay capable of detecting diabetes-relevant endpoints including beta-cell proliferation, chemoprotection, and islet spatial morphometrics.
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