Single-cell pathogen diagnostics for combating antibiotic resistance

H Li, K Hsieh, PK Wong, KE Mach, JC Liao… - Nature Reviews …, 2023 - nature.com
Bacterial infections and antimicrobial resistance are a major cause for morbidity and
mortality worldwide. Antimicrobial resistance often arises from antimicrobial misuse, where …

Droplet based microfluidics integrated with machine learning

S Srikanth, SK Dubey, A Javed, S Goel - Sensors and Actuators A: Physical, 2021 - Elsevier
Droplet based microfluidics (DBMF) has gained huge recognition in the recent years for
performing micro-reactions in droplets with high throughput, sensitivity, specificity and …

Light-powered CO2 fixation in a chloroplast mimic with natural and synthetic parts

TE Miller, T Beneyton, T Schwander, C Diehl, M Girault… - Science, 2020 - science.org
Nature integrates complex biosynthetic and energy-converting tasks within compartments
such as chloroplasts and mitochondria. Chloroplasts convert light into chemical energy …

Multiplex bacteria detection using one-pot CRISPR/Cas13a-based droplet microfluidics

Y Shang, G Xing, J Lin, Y Li, Y Lin, S Chen… - Biosensors and …, 2024 - Elsevier
High-throughput detection of bacteria at low levels is critical in public health, food safety, and
first response. Herein, for the first time, we present a platform based on droplet microfluidics …

Exploiting machine learning for bestowing intelligence to microfluidics

J Zheng, T Cole, Y Zhang, J Kim, SY Tang - Biosensors and Bioelectronics, 2021 - Elsevier
Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …

Integrating machine learning and biosensors in microfluidic devices: a review.

G Antonelli, J Filippi, M D'Orazio, G Curci… - Biosensors and …, 2024 - Elsevier
Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

JIPipe: visual batch processing for ImageJ

R Gerst, Z Cseresnyés, MT Figge - nature methods, 2023 - nature.com
The growth in microscopy adoption has led to a concomitant upsurge in the development of
software tools for the automated analysis of image data. Pillars among these tools are …

Ground truthing from multi-rater labeling with three-way decision and possibility theory

A Campagner, D Ciucci, CM Svensson, MT Figge… - Information …, 2021 - Elsevier
Abstract In recent years, Machine Learning (ML) has attracted wide interest as aid for
decision makers in complex domains, such as medicine. Although domain experts are …

Wettability-patterned microchip for emerging biomedical materials and technologies

Y Li, BF Liu, X Zhang - Materials Today, 2021 - Elsevier
Microchip has long been studied and facilitated recent investigations in multiple biomedical
and material fields. The advances in functional materials triggered several leaps in the …

Functions and applications of artificial intelligence in droplet microfluidics

H Liu, L Nan, F Chen, Y Zhao, Y Zhao - Lab on a Chip, 2023 - pubs.rsc.org
Droplet microfluidics has emerged as a powerful technology to perform high-throughput
experiments, while artificial intelligence (AI) serves as a functional tool to analyze a large set …