An improved algae-YOLO model based on deep learning for object detection of ocean microalgae considering aquacultural lightweight deployment

D Liu, P Wang, Y Cheng, H Bi - Frontiers in Marine Science, 2022 - frontiersin.org
Algae are widely distributed and have a considerable impact on water quality. Harmful algae
can degrade water quality and be detrimental to aquaculture, while beneficial algae are …

Electrocoalescence of unequal-sized aqueous droplet pair in non-conductive medium

S Cho, J Lee - Microfluidics and Nanofluidics, 2024 - Springer
Electrocoalescence is a valuable phenomenon for merging droplets and is widely used in
various applications such as the demulsification of crude oil, chemical or biological reaction …

[HTML][HTML] FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection

G Ding, Y Shi, Z Liu, Y Wang, Z Yao, D Zhou… - …, 2025 - pmc.ncbi.nlm.nih.gov
The identification and detection of microalgae are essential for the development and
utilization of microalgae resources. Traditional methods for microalgae identification and …

Quantification of algal cell concentration based on optical coherence tomography

F Zhang, Y Zhang, Y Tang… - Optics in Health Care and …, 2023 - spiedigitallibrary.org
Accurate measurements of the algal cell concentration are essential in microalgae culturing
and ecological monitoring. Here, we propose a method based on optical coherence …