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AI for your lab assays? It’s a great way to raise efficiency and efficacy. The future is already here. Be part of it today.
The MacroLab II EMMA uses Artificial Intelligence Technology to raise the efficiency and efficacy of your assays. Welcome to the next level of automation in laboratory testing!
The AI will recognize any region of interest in your sample image. You then simply define each agent of interest. You tell the software whether a contaminant is anything from an air bubble to a bacterial colony. Or better yet, you tell it which specific type or subtype of colony it is.
From your input, the AI creates a library of images for each type of agent you define. And it’s quite an extensive library. Computer vision models are only as good as the data you provide them. An essential part of providing good data is providing good labels.
The assessment and data collection steps in AI workflow are done together, so the number of images per class required for a proper AI training are customized and personalized due to their results.
AI may be beneficial for laboratory testing processes in different ways as it:
AI method development is a end-to-end process requiring several steps :
Click here for more detail on AI development process
You already have an existing validated “AI method” !!! – This “AI method” can easily be integrated to MacroLab EMMA application !!
These steps in the overall AI work process imply collection of the data, analysis and assessment.
The following agents can be detected :
The more representative dataset is, the higher is detection model performing. This ensures the better quality of the AI as dataset is always as representative as possible to the reality.
Performing the following step may be conducted in two ways, namely:
Group(s) of objects to be detected are called class(es) and classified to their nature.
The AI compares future agents of interest with library images. If it achieves a certain degree of consistency in the images, it is able to accurately classify a new agent without any further input from you.
In order to perfectly conduct AI training you always need three main ingredients: high-quality data, accurate data annotation and experimentation.
MTX software combines above-mentioned components with experience in AI training with the right IT structure.
Microtechnix frameworks support the validation of AI due to our expertise in different domains such as Healthcare, Life Science, Pharmaceutical, Automotive (according to Good Automated Manufacturing Practice). This provides you with solid, robust and validated results.
All the specifications defined during assessment phase are necessary for the further delivery of the AI.
Our software gives the opportunity to integrate the AI in the automation process according to ALCOA principles.
However, the process isn’t limited only to specific evaluation. It’s worth to mention that AI method is installed on your MacroLab EMMA for routine analysis as well.
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