Publications by authors named "Menglei Zhao"
Article Synopsis
- A novel label-free cell sorting method combines deep learning and microfluidic technology to differentiate cells based on their shape, achieving high precision and purity in sorting.
- Using an Active-Matrix Digital Microfluidics platform, the method employs the YOLOv8 model for accurate droplet classification and incorporates advanced algorithms for efficient path planning.
- Experimental results demonstrated impressive sorting capabilities with HeLa cells, achieving up to 98.5% precision and effective recovery rates, highlighting its potential for clinical and research applications in cell biology.
Enhanced nitrogen and phosphorus removal by natural pyrite-based constructed wetland with intermittent aeration.
Environ Sci Pollut Res Int
December 2021
Four subsurface flow constructed wetlands (SFCWs) filled with different substrates including ceramsite, ceramsite+pyrite, ceramsite+ferrous sulfide, and ceramsite+pyrite+ferrous sulfide (labeled as SFCW-S1, SFCW-S2, SFCW-S3, and SFCW-S4) were constructed, and the removal of nitrogen and phosphorus by these SFCWs coupled with intermittent aeration in the front section was discussed. The key findings from different substrate analyses, including nitrification and denitrification rate, enzyme activity, microbial community structure, and the X-ray diffraction, revealed the nitrogen and phosphorus removal mechanism. The results showed that the nitrogen and phosphorus removal efficiency for SFCW-S1 always remained the lowest, and the phosphorus removal efficiency for SFCW-S4 was recorded as the highest one.
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