AIMC Topic: Microfluidic Analytical Techniques
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Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system.
Biomedical microdevices
Sep 2, 2020
Microfluidics has wide applications in different technologies such as biomedical engineering, chemistry engineering, and medicine. Generating droplets with desired size for special applications needs costly and time-consuming iterations due to the no...
Intelligent classification of platelet aggregates by agonist type.
eLife
May 12, 2020
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggregates for hemostatic reactions. In addition to their participation in physiological hemostasis, platelet aggregates are also involved in pathological ...
Flow Chemistry in Contemporary Chemical Sciences: A Real Variety of Its Applications.
Molecules (Basel, Switzerland)
Mar 21, 2020
Flow chemistry is an area of contemporary chemistry exploiting the hydrodynamic conditions of flowing liquids to provide particular environments for chemical reactions. These particular conditions of enhanced and strictly regulated transport of reage...
A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry.
Analytical and bioanalytical chemistry
Mar 18, 2020
Microfluidic applications such as active particle sorting or selective enrichment require particle classification techniques that are capable of working in real time. In this paper, we explore the use of neural networks for fast label-free particle c...
Genome-scale transcriptional dynamics and environmental biosensing.
Proceedings of the National Academy of Sciences of the United States of America
Jan 23, 2020
Genome-scale technologies have enabled mapping of the complex molecular networks that govern cellular behavior. An emerging theme in the analyses of these networks is that cells use many layers of regulatory feedback to constantly assess and precisel...
Label-Free Estimation of Therapeutic Efficacy on 3D Cancer Spheres Using Convolutional Neural Network Image Analysis.
Analytical chemistry
Oct 24, 2019
Despite recent advances in cancer treatment, developing better therapeutic reagents remains an essential task for oncologists. To accurately characterize drug efficacy, 3D cell culture holds great promise as opposed to conventional 2D monolayer cultu...
Microfluidic Analytical Techniques
Optical Imaging
Tumor Cells, Cultured
Antibiotics, Antineoplastic
Equipment Design
Doxorubicin
Image Processing, Computer-Assisted
Cell Survival
Humans
Cell Proliferation
Drug Screening Assays, Antitumor
Neural Networks, Computer
Structure-Activity Relationship
Dose-Response Relationship, Drug
Breast Neoplasms
CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.
Lab on a chip
Oct 23, 2019
T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Characterization of the most representative T-lymphocyte subclasses, CD4+ and CD8+, is challenging, but has a significant impact on clinical decisions. Up ...
Two-Dimensional Light Scattering Anisotropy Cytometry for Label-Free Classification of Ovarian Cancer Cells via Machine Learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Jul 16, 2019
We develop a single-mode fiber-based cytometer for the obtaining of two-dimensional (2D) light scattering patterns from static single cells. Anisotropy of the 2D light scattering patterns of single cells from ovarian cancer and normal cell lines is i...
Automated System for Small-Population Single-Particle Processing Enabled by Exclusive Liquid Repellency.
SLAS technology
Jun 10, 2019
Exclusive liquid repellency (ELR) describes an extreme wettability phenomenon in which a liquid phase droplet is completely repelled from a solid phase when exposed to a secondary immiscible liquid phase. Earlier, we developed a multi-liquid-phase op...
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE transactions on bio-medical engineering
Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
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