Magnus Nyborg Madsen

In the Reshape Discovery platform, activity is automatically tracked to make it easy to understand what is going on within jobs.   Activities logged Job created Job started Job finished Jo...

When imaging plate formats such as omnitrays that have a large surface area, suitable for inoculation with multiple spots, "virtual wells" can be applied to automatically segment the agar surface i...

In the Reshape platform, analysis pipelines (both the image analysis model itself as well as post-processing that has been applied to automatically analyse the resulting data and output it in a cer...

By using image and object classification, models can be trained to classify and identify certain colonies. This is dependent on metadata being available to the model such as what media is in a give...

Going beyond looking at images and images in time-series, the Reshape platform allows complex post-processing to be applied across jobs to generate more complex or high-level data automatically. A ...

Color-based well analysis models The color analysis looks at entire wells at once and outputs colorimetric quantifications such as the mean lightness, hue, saturation or RGB color of the well   Bl...