

Startups
2019
1-10 Employees
TRI Thinking Research InstrumentsTRI Thinking Research instruments is a young company and expert in the development of imaging and AI-based image analysis solutions. We have strong expertise in the development of optical instrumentation hardware and practical AI-based image analysis platforms.
TRI Thinking Research Instruments developed and launched VAIDR as an integrated imaging & AI-based image analysis platform, composed of TRI’s own automated microscope and a trainable image analysis platform. In addition to that, TRI developed and launched a bioreactor imaging system called SAIBR to monitor and analyze cells online in transparent bioreactors. TRI placed the products as an R&D tool in the area of biomedical-, biotech- and pharmaceutical research to characterize cells as well as cell-based objects by the detection and quantification of morphological features.
TRI Thinking Research Instruments developed and launched VAIDR as an integrated imaging & AI-based image analysis platform, composed of TRI’s own automated microscope and a trainable image analysis platform. In addition to that, TRI developed and launched a bioreactor imaging system called SAIBR to monitor and analyze cells online in transparent bioreactors. TRI placed the products as an R&D tool in the area of biomedical-, biotech- and pharmaceutical research to characterize cells as well as cell-based objects by the detection and quantification of morphological features.
Address
Große Freiheit 77, 22767 Hamburg, Germany
Details
Customer Problem
Translate information from cells or tissues into reproducible results -> Assays for QCBusiness Model
Annual Leasing Deals of Modules (A) Software Licensing; (B) Automated Microscopes; (C) Data Management Cloud/on-site; (D) Services in AI-based Image Analysis and Assay DevelopmentTechnology Description
www.vaidr.de
www.saibr.bioUSP
Customer-driven AI training
Low image data need for strong statistics
-> VAIDR: flexible Business Model; Leasing of all components
-> SAIBR: Non-destructive and non-invasive cell imaging within bioreactors; integrated AI-driven analysis