Free Version - Flow Cytometery FCS 2.0 and FCS 3.0 analysis compatible with BD, Coulter/Ortho, and Partec sample files. This implementation is platform independent and uses an apache-tomcat server, and runs all computers (Linux, PC, and Mac).

Project Samples

Project Activity

See All Activity >

Categories

Medical

License

GNU General Public License version 2.0 (GPLv2)

Follow KFlowCytometryQuickAnalysis

KFlowCytometryQuickAnalysis Web Site

Other Useful Business Software
Turn traffic into pipeline and prospects into customers Icon
Turn traffic into pipeline and prospects into customers

For account executives and sales engineers looking for a solution to manage their insights and sales data

Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Learn More
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • Kflowcytometryq is the best! Thanks.
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Intended Audience

End Users/Desktop, Healthcare Industry, Science/Research

Database Environment

Proprietary file format

Registered

2008-04-24