An innovative deep learning-empowered paradigm for precise biological sample quantification

• DOI: 10.1364/cleo_at.2024.af1b.6
• Publication Date: 2024-09-05T15:27:11Z
• Authors: Yuanyuan Wei; Dehua Hu; Khadija Bibi; Syed Muhammad Tar...; Luoquan Li; Fuyang Qu; Nawaz Mehmood; Yi-Ping Ho; Ho-Pui Ho; Wu Yuan

We present an innovative deep learning-aided paradigm that enables real-time and automated detection and classification of GFP (Green fluorescence protein)-labeled microreactor, overcoming the limitations of conventional methods.