Ramona + Green Button Go
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We are excited to announce that Ramona has worked with Biosero™ to integrate our Multi-Camera Array Microscope (MCAM™) with Green Button Go™.
Green Button Go™ is a highly flexible and customizable software platform built by Biosero™ that allows users to automate and schedule a wide range of tasks and processes — an essential tool for any lab looking to optimize their workflows. By integrating with Green Button Go™, users can automate the entire imaging process, from sample preparation to image acquisition and analysis.
Ramona’s MCAM™ is a modular microscope system with a simple interface that allows users to easily design assays around the biological needs of their sample. When combined with malleable software automations, such as Green Button Go™, our high throughput microscopy toolset provides a powerful solution for automating large-scale imaging projects.
With the combined power of Ramona’s high throughput microscopy system and Green Button Go™, researchers can significantly increase their productivity. By streamlining and enhancing the analysis of large datasets, this powerful combination empowers researchers to achieve more efficient and accurate results, revolutionizing the landscape of research and development.
We had a very positive experience working with the Biosero team and the feeling was mutual. In the words of Simon Coelho, Software Engineer at Biosero, “As for my experience working with [Ramona’s] development team, I can’t speak highly enough. Developing drivers for new products can be difficult, as there are often unanswered questions about future use cases, but the development team went above and beyond to ensure that development went smoothly and that future feature additions were supportable without need for driver modifications.”
If you’re interested in setting up an automated laboratory workflow with our imaging technology and Biosero Green Button Go™ software, please contact sales@ramonaoptics.com.
See some examples of Ramona’s high-throughput data on our vimeo page.
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Ramona + Green Button Go
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We are excited to announce that Ramona has worked with Biosero™ to integrate our Multi-Camera Array Microscope (MCAM™) with Green Button Go™.
Green Button Go™ is a highly flexible and customizable software platform built by Biosero™ that allows users to automate and schedule a wide range of tasks and processes — an essential tool for any lab looking to optimize their workflows. By integrating with Green Button Go™, users can automate the entire imaging process, from sample preparation to image acquisition and analysis.
Ramona’s MCAM™ is a modular microscope system with a simple interface that allows users to easily design assays around the biological needs of their sample. When combined with malleable software automations, such as Green Button Go™, our high throughput microscopy toolset provides a powerful solution for automating large-scale imaging projects.
With the combined power of Ramona’s high throughput microscopy system and Green Button Go™, researchers can significantly increase their productivity. By streamlining and enhancing the analysis of large datasets, this powerful combination empowers researchers to achieve more efficient and accurate results, revolutionizing the landscape of research and development.
We had a very positive experience working with the Biosero team and the feeling was mutual. In the words of Simon Coelho, Software Engineer at Biosero, “As for my experience working with [Ramona’s] development team, I can’t speak highly enough. Developing drivers for new products can be difficult, as there are often unanswered questions about future use cases, but the development team went above and beyond to ensure that development went smoothly and that future feature additions were supportable without need for driver modifications.”
If you’re interested in setting up an automated laboratory workflow with our imaging technology and Biosero Green Button Go™ software, please contact sales@ramonaoptics.com.
See some examples of Ramona’s high-throughput data on our vimeo page.
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