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QuoData News

QuoData warmly welcomes the new DAAD interns! This year, QuoData is delighted to have three interns supported by DAAD (German Academic Exchange Services) RISE program join the team.

QuoData is excited to announce a powerful new addition to its clinical EQA software-as-a-service suite Cequator – a powerful Homogeneity & Stability Testing module. This feature allows EQA providers to analyze homogeneity and stability data of EQA/PT samples as required by ISO 17043.

Homogeneity and stability are critical factors in ensuring accurate and reproducible results when using EQA/PT samples. The new module followst he protocols of ISO 13528 and streamlines the analysis process with:

On June 5, 2024, QuoData successfully hosted a web-seminar on "Implementing ISO 17043:2023 - Guidelines for Laboratory PT Sample Production and Distribution." Martin Jähne, QuoData's Head of Laboratory, guided participants through the critical updates and changes in the ISO 17043:2023 standard.

The ISO 17043 standard, updated in 2023, includes several significant changes:

Incorporation of inspection and sampling as further conformity assessment activities in the standard

Künstliche Intelligenz zur Qualitätssicherung

The "biosaxony vor Ort – AI for SMEs" event held on March 14, 2024, at the QuoData headquarters, was a resounding success. Filled with vibrant energy from enthusiastic participants and insights shared by esteemed speakers, it was an enriching experience.

The event kicked off with a brief opening by Conny Lerche, followed by Anja Rösler's introduction to biosaxony and its current initiatives. Continuing the program, QuoData’s Senior Data Scientist, Kapil Nichani, delved into "Embracing AI: Transforming measurement data into insights and actions".

Exploring AI in Life Sciences: QuoData hosts "biosaxony vor Ort" 

 

QuoData is honored and excited to take the lead in hosting the upcoming "biosaxony vor Ort" event on March 14, 2024, from 4 pm to 6:25 pm at our headquarters on Prellerstrasse 14.

SmartGrape - AI-based MIR measuring system for determining quality in viticulture With the „SmartGrape“ project, QuoData and the partner institutes aim to analyze the quality determining characteristics of grapes by combining a miniaturized infrared spectrometer with an artificial intelligence (AI) approach.

FuE-Projekte

QuoData GmbH is proud to join forces with the Senckenberg Society for Nature Research (SGN), Fraunhofer Institute for Molecular Biology and Applied Ecology IME (Fraunhofer IME), and SME partners – Institut Dr. Nowak GmbH & Co. KG, in the MetaInvert-ISO project.

An open-source tool for video analysis of iPSC-CMs

There's a tremendous growth noticed in the studies of induced pluripotent stem-cells derived cardiomyocytes (iPSC-CMs). Biomedical image & signal processing techniques are increasingly used in the analysis of stem cell studies, regenerative & therapeutic medicines, organ-on-chip studies, etc.

SmartGrape - AI-based MIR measuring system for determining quality in viticulture With the „SmartGrape“ project, QuoData and the partner institutes aim to analyze the quality determining characteristics of grapes by combining a miniaturized infrared spectrometer with an artificial intelligence (AI) approach.

Customer success stories

Our unwavering commitment to client satisfaction is evident in the countless testimonials we've received from satisfied customers.

  • Die Reportfunktion und die graphischen Darstellungen von PROLab sind sehr, sehr hilfreich!

    - Monika Ratte, Managing Director

  • PROLab was appreciated by all participating labs due to the fact that it follows International ISO standards and has good presentation of statistically analyzed interpreted data.

    - Angamuthu Manoharan, Senior Scientist 

  • Even with the demo, I was able to use the software with minimum intervention from the PROLab team, especially taking into account that I am located in South Africa.

    - Lucky Mumba, Laboratory Manager

  • PROLab gave us new ideas for how to solve problem and we were impressed with the visualization of data and its fast results.

    - Milenko Maricic, Lead Engineer at Institute IMS