A microfluidic platform with integrated arrays for immunologic assays for biological pathogen detection

2014 ◽  
Author(s):  
Richard Klemm ◽  
Holger Becker ◽  
Nadine Hlawatsch ◽  
Sandra Julich ◽  
Peter Miethe ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Microfluidic Platform ◽  
Immunologic Assays

Inkjet Printing platforms for DNA-based pathogen detection

2018 ◽  
Vol 2018 (1) ◽  
pp. 107-112 ◽  
Author(s):  
Min Zhao ◽  
Susana Diaz Amaya ◽  
Seon-ah Jin ◽  
Li-Kai Lin ◽  
Amanda J. Deering ◽  
...  
Keyword(s):  
Inkjet Printing ◽  
Pathogen Detection

Autonomous Pathogen Detection System (APDS) NYC Spring 2005 Field Test Report May to July 2005

2005 ◽  
Author(s):  
J M Dzenitis ◽  
A J Makarewicz ◽  
D R Hadley ◽  
D M Gutierrez ◽  
T R Metz ◽  
...  
Keyword(s):  
Field Test ◽  
Pathogen Detection ◽  
Detection System ◽  
Test Report

Biomedical Devices for Pathogen Detection Using Microfluidic Chips

2014 ◽  
Vol 11 (2) ◽  
pp. 116-120 ◽  
Author(s):  
Yung-Sheng Lin ◽  
Ming-Yuan-Lee ◽  
Chih-Hui Yang ◽  
Keng-Shiang Huang
Keyword(s):  
Pathogen Detection ◽  
Biomedical Devices ◽  
Microfluidic Chips

Clin-mNGS: Automated Pipeline for Pathogen Detection from Clinical Metagenomic Data

2020 ◽  
Vol 15 ◽  
Author(s):  
Akshatha Prasanna ◽  
Vidya Niranjan
Keyword(s):  
Antimicrobial Resistance ◽  
High Performance ◽  
Pathogen Detection ◽  
Bacterial Species ◽  
Workflow Management ◽  
Metagenomic Data ◽  
Antimicrobial Resistance Genes ◽  
Culture Independent ◽  
Automated Pipeline ◽  
User Friendly

Background: Since bacteria are the earliest known organisms, there has been significant interest in their variety and biology, most certainly concerning human health. Recent advances in Metagenomics sequencing (mNGS), a culture-independent sequencing technology have facilitated an accelerated development in clinical microbiology and our understanding of pathogens. Objective: For the implementation of mNGS in routine clinical practice to become feasible, a practical and scalable strategy for the study of mNGS data is essential. This study presents a robust automated pipeline to analyze clinical metagenomic data for pathogen identification and classification. Method: The proposed Clin-mNGS pipeline is an integrated, open-source, scalable, reproducible, and user-friendly framework scripted using the Snakemake workflow management software. The implementation avoids the hassle of manual installation and configuration of the multiple command-line tools and dependencies. The approach directly screens pathogens from clinical raw reads and generates consolidated reports for each sample. Results: The pipeline is demonstrated using publicly available data and is tested on a desktop Linux system and a High-performance cluster. The study compares variability in results from different tools and versions. The versions of the tools are made user modifiable. The pipeline results in quality check, filtered reads, host subtraction, assembled contigs, assembly metrics, relative abundances of bacterial species, antimicrobial resistance genes, plasmid finding, and virulence factors identification. The results obtained from the pipeline are evaluated based on sensitivity and positive predictive value. Conclusion: Clin-mNGS is an automated Snakemake pipeline validated for the analysis of microbial clinical metagenomics reads to perform taxonomic classification and antimicrobial resistance prediction.

scholarly journals A Microfluidic Platform to design Multimodal PEG - crosslinked Hyaluronic Acid Nanoparticles (PEG-cHANPs) for diagnostic applications

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Olimpia Tammaro ◽  
Angela Costagliola di Polidoro ◽  
Eugenia Romano ◽  
Paolo Antonio Netti ◽  
Enza Torino
Keyword(s):  
Hyaluronic Acid ◽  
Microfluidic Platform ◽  
Diagnostic Applications

scholarly journals Microfluidic Platform for Analyzing the Thermotaxis of C. elegans in a Linear Temperature Gradient

2017 ◽  
Vol 33 (12) ◽  
pp. 1435-1440 ◽  
Author(s):  
Sunhee YOON ◽  
Hailing PIAO ◽  
Tae-Joon JEON ◽  
Sun Min KIM
Keyword(s):  
Temperature Gradient ◽  
Linear Temperature ◽  
Microfluidic Platform ◽  
C Elegans ◽  
Linear Temperature Gradient
Sign in / Sign up

Export Citation Format

Share Document