Colony counter 'Iris'

Introduction process

Are you seriously interested in the Iris? We offer a structured introduction process. During this process, you can experience its capabilities within your own laboratory environment.

At the start of this process, two agar/microorganism combinations are selected in consultation. Neural networks will be developed for these combinations. Next, representative Petri dishes are chosen to optimally adjust the camera settings and lighting. Where available, existing neural networks are used to support the annotation process.

Using the TrainingSet Creator, you capture images and annotate them. During this process, we provide remote guidance. We also assess the quality, balance, and size of the dataset. Based on this dataset, we train a new neural network. This neural network is then made available for evaluation in the Validation web application.

TrainingSet Creator

The TrainingSet Creator is specifically developed for building datasets used to train neural networks. With this application, you can easily create images and add annotations. This can optionally be supported by existing AI models.

You can choose to capture images in bulk and annotate them later. You can also work per Petri dish, so you can directly reference the physical sample during annotation.

Validation Webapp

The Validation web application is accessible via any web browser within your network. After logging in, you select the desired test or analysis. You then enter a code manually or by scanning a barcode.

You can capture and annotate images immediately. You can also first create a set of images and process them later. During validation, you indicate false positives and false negatives. After this, the analysis is validated.

As this is a web-based application, validation can be performed from any location. All results are automatically stored. They are also made available as a zip file on an FTP server, ready for further processing, for example within your LIMS in various file formats.

Discover what IRIS can really do for your laboratory

The IRIS AI colony counter is not only designed for speed and precision. It is also designed for sustainability in your laboratory processes. By automating the counting of bacterial colonies, you save valuable time every day, reduce human variation, and increase the reliability of your results. 

An investment in IRIS is therefore more than a technological upgrade. It is a step towards a more efficient, consistent, and future-proof laboratory.

Would you like to know what this means for your organisation in concrete terms? Discover how much time, resources, and costs you can save with a personal ROI calculation for the IRIS AI colony counter.

Personalised ROI calculation