Beckman Coulter acquires Cytobank to provide standardized cytometric analysis

By Maggie Lynch

- Last updated on GMT

(Image: Getty/mikdam)
(Image: Getty/mikdam)
SaaS company Cytobank was acquired by Beckman Coulter Life Sciences to provide standardized cytometry data analytics to its clients.

The acquired software as a service (SaaS) company, Cytobank, will provide cloud and machine learning-based software for single-cell data analysis, sharing, and archiving to Beckman Coulter’s clients.

Cytobank’s platform provides accelerated research productivity through high-dimensional multi-omics data analysis, visualization, and collaboration across multiple sites, according to the company.

Beckman Coulter Life Sciences’ a California-based biomedical testing manufacturer will tie in the capabilities gained from this acquisition to its CytoFLEX LX 21-color flow cytometer for additional high-complexity workflow and data analysis for clinical research scientists.

David Craford, president and CEO of Cytobank, told us that the company’s platform will enable Beckman’s customers to use machine learning-based analysis to approach their cytometric data more objectively and share their analyses with clinical research collaborators.

Cytobank will join Beckman Coulter Life Sciences through the Danaher Life Sciences platform, which has generated approximately $6.5bn of revenue in 2018 through the combined work of Beckman Coulter, SCIEX, Molecular Devices, Pall, and Leica Microsystems.

Related news

Show more

Related products

show more

Saama accelerates data review processes

Saama accelerates data review processes

Content provided by Saama | 25-Mar-2024 | Infographic

In this new infographic, learn how Saama accelerates data review processes. Only Saama has AI/ML models trained for life sciences on over 300 million data...

More Data, More Insights, More Progress

More Data, More Insights, More Progress

Content provided by Saama | 04-Mar-2024 | Case Study

The sponsor’s clinical development team needed a flexible solution to quickly visualize patient and site data in a single location

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Related suppliers

Follow us

Products

View more

Webinars