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20220122_0016
© Lucas LO GIUDICE / Pauline SILBERREISS / ICUBE / LBP / REDBERRY / CNRS Photothèque

Microbial mosaic

Reference

20220122_0016

Production year

2022

Max. size

42.33 x 42.33 cm / 300 dpi

Caption

Artificial intelligence can now be used to detect milk contamination quickly and easily. Certain bacteria such as "Pseudomonas fluorescens" can contaminate milk during the bottling process. As a result, the milk has to be incubated for several weeks to ensure that it is sterile before being sold. With Red One technology, microorganisms can be detected after only 48 hours of enrichment in the bottle. The sample is deposited and filtered automatically on a membrane. An algorithm is then used to identify any microorganisms present and to monitor them over time. This process is also used to determine the potability of water and the sterility of pharmaceutical products such as vaccines and drugs. This image was made using a high-resolution fluorescence imaging technique. It is one of the winners of the 2022 La preuve par l’image (LPPI) photography competition.

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Scientific topics

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