AIMC Topic: Microfluidic Analytical Techniques
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Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry.
Lab on a chip
Apr 16, 2024
Metastatic tumors have poor prognoses for progression-free and overall survival for all cancer patients. Rare circulating tumor cells (CTCs) and rarer circulating tumor cell clusters (CTCCs) are potential biomarkers of metastatic growth, with CTCCs r...
Multicolor-Assay-on-a-Chip Processed by Robotic Operation (MACpro) with Improved Diagnostic Accuracy for Field-Deployable Detection.
Analytical chemistry
Apr 15, 2024
The ability to deploy decentralized laboratories with autonomous and reliable disease diagnosis holds the potential to deliver accessible healthcare services for public safety. While microfluidic technologies provide precise manipulation of small flu...
Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays.
Analytica chimica acta
Jan 31, 2023
Smartphone has long been considered as one excellent platform for disease screening and diagnosis, especially when combined with microfluidic paper-based analytical devices (μPADs) that feature low cost, ease of use, and pump-free operations. In this...
An automated, fully-integrated nucleic acid analyzer based on microfluidic liquid handling robot technique.
Analytica chimica acta
Dec 1, 2022
On-site nucleic acid testing (NAT) plays an important role for disease monitoring and pathogen diagnosis. In this work, we developed an automated and fully-integrated nucleic acid analyzer by combining the automated liquid handling robot technique wi...
Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets.
Lab on a chip
Oct 25, 2022
Encapsulation of cells inside microfluidic droplets is central to several applications involving cellular analysis. Although, theoretically the encapsulation statistics are expected to follow a Poisson distribution, experimentally this may not be ach...
Microfluidic Devices Controlled by Machine Learning with Failure Experiments.
Analytical chemistry
Apr 25, 2022
A critical microchannel technique is to isolate specific objects, such as cells, in a biological solution. Generally, this particle sorting is achieved by designing a microfluidic device and tuning its control values; however, unpredictable motions o...
Label-free imaging flow cytometry for analysis and sorting of enzymatically dissociated tissues.
Scientific reports
Jan 19, 2022
Biomedical research relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells' properties and ...
Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.
Scientific reports
Jun 30, 2021
Combining microfluidics technology with machine learning represents an innovative approach to conduct massive quantitative cell behavior study and implement smart decision-making systems in support of clinical diagnostics. The spleen plays a key-role...
Machine learning-based cytokine microarray digital immunoassay analysis.
Biosensors & bioelectronics
Feb 20, 2021
Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely ill patients. However, attaining the combination of high sensitivity and multiplexity with a short ...
A microfluidic robot for rare cell sorting based on machine vision identification and multi-step sorting strategy.
Talanta
Jan 23, 2021
The identification, sorting and analysis of rare target single cells in human blood has always been a clinically meaningful medical challenge. Here, we developed a microfluidic robot platform for sorting specific rare cells from complex clinical bloo...
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