Deep learning to analyse microscopy images

Guillaume Jacquemet*

*Corresponding author for this work

Research output: Contribution to journalArticleScientific

2 Citations (Scopus)

Abstract

Artificial intelligence (AI)-powered algorithms are now influencing many aspects of our day-to-day life, from providing movies/music recommendations to controlling self-driving cars. These algorithms are also increasingly used in the lab to aid biomedical research. In particular, the ability to analyse and process images using AI is slowly revolutionizing the quality and quantity of data we collect from microscopy images. In fact, AI-basedalgorithms can now be applied to perform virtually any high-performance image analysis tasks such as classifying images, detecting and segmenting objects, aligning images or improving image quality by removing noise or increasing image resolution. This short feature article briefly underlies the principles behind using AI algorithms to analyse microscopy images with a specific focus on segmentation and denoising

Original languageEnglish
Pages (from-to)60-64
Number of pages5
JournalBiochemist
Volume43
Issue number5
DOIs
Publication statusPublished - 2021
MoE publication typeB1 Article in a scientific magazine

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