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Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
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预测无氧膜生物反应器的性能使用流动细胞计获得的高和低核酸含量细胞

Hong Cheng1,2, Julie Sanchez Medina2,3, Jianqiang Zhou2,4

  • 1Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400044, People's Republic of China.

Environmental science & technology
|January 23, 2024
PubMed
概括

一个新的模型使用微生物细胞计数预测无氧膜生物反应器的性能. 该工具预测化学氧气需求的减少和甲的产生,提前3.5天,有助于高效运行.

关键词:
细胞中的HNA和LNA细胞.无氧膜生物反应器是一种无氧膜生物反应器.流动细胞计量是流动细胞计量的方法.微生物多样性的微生物多样性预测模型是一个预测模型.

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Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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