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client case

Global life-sciences conglomerate

This (anonymous) bioscience multinational is leading the way thanks to automated phenotyping.

Phenotyping

Phenotyping is one of the activities of this international group operating worldwide in pharma, health, and biotech. Together with lab technicians, USoft developed an automated phenotyping solution.

The challenge

Lab technicians experiment with an almost infinite number of organic compounds. Each experiment contains photographs from multiple types of cameras. The lab technicians reported that they could no longer manage the huge volumes involved in high-speed phenotyping. Too much manual labor was involved in the process of experimentation, storage, and analysis, which caused them to fall behind. Moreover, organizing and searching through the data folders was problematic.

Phenotyping plants

Too much manual work

  • Automatic phenotyping was not available. Phenotyping was manual work that took a lot of labour. This was a root cause for lagging image analysis.

The analysis of phenotyping images was lagging

  • More images were created than were analyzed. There were lots of images “on file” that had not been processed yet.
  • Images were not automatically checked for correctness. This means that faulty photos can be analyzed, corrupting experiment results.
Phenotyping

Organising and searching the data folders was problematic

  • Files and images were hard to find. Long file names held metadata, and image organization was not automatic.
  • Before or after image processing, it wasn’t easy to find images for manual checks, reanalysis, or reviewing purposes.
  • Metadata was not stored centrally. This relates to the organization of the images in subfolders, preferably supported by a database structure that will make it easy to understand which image generates which data and where the image is.

Why this company chose USoft

The solution

USoft spoke extensively with the lab technicians responsible, and it quickly became apparent that this could be easily automated using USoft's low-code platform. The full project result is a state-of-the-art phenotyping system that will automatically organize- and analyze the correct images. This will enable researchers to perform analysis to determine the best strategy to reach their goals.

Data aquisition

  • Trial execution: preprocessing validation algorithm for image verification.
  • Preprocessing: image validation using validation algorithms for further processing.
  • Image organization: if the image is valuable, store the image and it’s metadata.

Data analysis

  • Preprocessing: image validation using validation algorithms for further processing.
  • Image organization: if the image is valuable, store the image and it’s metadata.
low-code development
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Reporting

  • Visualization/publishing API: make numerical result data available for further processing.
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The results

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