
Dipfit™ App
for Bio-X Diagnostics
0 ratings
Archived App
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
Dipfit™ App allows practitioners to run a range of compatible point-of-care diagnostic assays, with accurate, robust and reproducible quantitative results; thus, it represents a significant breakthrough in veterinary diagnostic technologies.
Dipfit™ App is an innovative concept that makes the accuracy of laboratory immuno-enzymatic assays (ELISA) available for veterinary practitioners for use in the office or on the farm.
Dipfit™ App, developed for Bio-X Diagnostics, kicks off a new generation of robust, accurate quick tests (quantitative results possible) that include a data transmission module connected to your computer network or LIMS.
Dipfit™ App requires no special equipment (a simple smartphone suffices), fastidious handling, or laboratory expertise. It is proposed as a means for reading the results of our Dipfit™ App quick diagnostic tests:
• as an alternative to reading the “positive/negative” response tests with the naked eye;
• as a system for reading/interpreting all tests that require semi-quantitative or quantitative calibrated responses.
Dipfit™ App works like a sequential toolbox with:
• a tool to recognise the test parameter via the QR code printed on the device;
• a tool for reading the test (automatic visual capture);
• a tool for interpreting the readings, which may be of various types (positive/negative, positive/dubious/negative, semi-quantitative (value intervals), or quantitative, depending on the parameter);
• a tool for creating files (per animal, batch of animals, farm, etc.); and
• a tool for exporting data (test results, date, geographical coordinates, comments, and attachments) to a remote computer or server.
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What's New in Dipfit™ App
1.9.6
July 17, 2024
Updated name for BIO K 440 (and new calculus of type "O") for better analysis results. Validated on iOS 17.5.





