Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

865
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
865
Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

66
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
66
Soil Microbial Ecology01:29

Soil Microbial Ecology

86
Soil microbial ecology is defined by highly diverse, spatially structured communities that drive nutrient cycling, organic matter turnover, and overall ecosystem stability. Although a gram of soil can contain thousands of bacterial and archaeal taxa, the ecological processes they mediate are even more crucial for sustaining terrestrial life.Microhabitats and NichesSoil is a heterogeneous mixture of minerals, organic matter, water, and air. Microbes inhabit distinct microhabitats formed by...
86
Introduction to the Human Microbiota01:22

Introduction to the Human Microbiota

222
Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity,...
222
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

79
Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
79

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Rapid antithrombin assay from human blood plasma utilizing smartphone-based flow observation on paper chips.

PLOS digital health·2026
Same author

Smartphone-based multispectral autofluorescence analysis of bacteria mixtures of staphylococci using convolutional neural network.

Journal of biological engineering·2026
Same author

Microfluidic Sensors Integrated with Smartphones for Applications in Forensics, Agriculture, and Environmental Monitoring.

Micromachines·2025
Same author

Fluorescence-based spectrometric and imaging methods and machine learning analyses for microbiota analysis.

Mikrochimica acta·2025
Same author

Development of a cloud-based flow rate tool for eNAMPT biomarker detection.

PNAS nexus·2024
Same author

Recent Uses of Paper Microfluidics in Isothermal Nucleic Acid Amplification Tests.

Biosensors·2023
Same journal

Feeling the vibes: Vibrational spectroscopic imaging of biomolecular assemblies in their natural environment.

Applied physics reviews·2026
Same journal

Nanofibrous scaffolds for bone and cartilage regeneration.

Applied physics reviews·2026
Same journal

A robotic arm with open-source reconstructive workflow for <i>in vivo</i> bioprinting of patient-specific scaffolds.

Applied physics reviews·2024
Same journal

Synthesis and characterization of amine-functionalized graphene as a nitric oxide-generating coating for vascular stents.

Applied physics reviews·2024
Same journal

Design considerations for digital light processing bioprinters.

Applied physics reviews·2024
Same journal

Interplay of graphene-DNA interactions: Unveiling sensing potential of graphene materials.

Applied physics reviews·2024
查看所有相关文章

相关实验视频

Updated: May 5, 2026

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
08:05

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

19.6K

一种基于智能手机的方法,用于全面的土壤微生物群概况.

Yan Liang1, Bradley Khanthaphixay2, Jocelyn Reynolds2

  • 1Department of Chemistry and Biochemistry, The University of Arizona, Tucson, Arizona 85721, USA.

Applied physics reviews
|September 2, 2024
PubMed
概括
此摘要是机器生成的。

一个新的智能手机系统使用细菌自光和机器学习来分类土壤细菌并评估土壤健康. 这种便携式,低成本的工具为环境管理提供了准确的现场微生物分析.

更多相关视频

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.7K
Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments
10:31

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Published on: July 24, 2018

54.6K

相关实验视频

Last Updated: May 5, 2026

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
08:05

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

19.6K
Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.7K
Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments
10:31

Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

Published on: July 24, 2018

54.6K

科学领域:

  • 微生物学 微生物学
  • 环境科学 环境科学
  • 农业技术 农业技术

背景情况:

  • 土壤微生物组对于生态系统功能,如营养循环和植物生长至关重要.
  • 传统的土壤微生物分析方法通常是昂贵的,耗时的,需要实验室基础设施.
  • 需要准确且易于使用的工具来进行现场的土壤健康评估和微生物监测.

研究的目的:

  • 开发和验证基于智能手机的平台,用于分类土壤细菌物种.
  • 评估平台在表征微生物群落和确定土壤健康水平方面的能力.
  • 评估系统的实用性和准确性,以实地进行土壤分析.

主要方法:

  • 在智能手机平台上利用细菌自光检测与机器学习算法相结合.
  • 测试了细菌物种分类,混合物中主导物种的识别和土壤健康水平的确定系统.
  • 通过使用各种田间土壤样本对实验室分析验证平台的性能.

主要成果:

  • 在没有基因测序的情况下,在区分常见的土壤细菌物种方面获得了88%的平均准确性.
  • 成功识别了细菌混合物中占主导地位的物种 (准确率为76%) 和三级土壤健康 (准确率为80%-82%).
  • 与实验室结果相比,现场样本的准确性达到80%,显示出对pH值和湿度变化的稳定性.

结论:

  • 这种基于智能手机的系统提供了一种低成本,便携且准确的土壤微生物分析方法.
  • 这项技术在现场土壤评估,微生物监测和环境管理方面具有重大潜力.
  • 该平台为传统方法提供了切实可行的替代方案,提高了土壤健康评估的可访问性.