Neural Network Enhanced Real-Time Impedance Flow Cytometry for Single-Cell Intrinsic Characterization

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Yongxiang Feng ◽  
Zhen Cheng ◽  
Huichao Chai ◽  
Weihua He ◽  
Liang Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Flow Cytometry ◽  
Electrical Properties ◽  
Single Cell ◽  
Real Time ◽  
Label Free ◽  
Intrinsic Characterization ◽  
Non Invasive ◽  
Invasive Method ◽  
Sample Heterogeneity

Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for characterizing the electrical properties and revealing the sample heterogeneity. At present, most IFC works utilized phenomenological...

Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network

2021 ◽  
Vol 137 ◽  
pp. 106861
Author(s):  
Deepa Joshi ◽  
Ankit Butola ◽  
Sheetal Raosaheb Kanade ◽  
Dilip K. Prasad ◽  
S.V. Amitha Mithra ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Coherence Tomography ◽  
Deep Neural Network ◽  
Optical Coherence ◽  
Label Free ◽  
Non Invasive ◽  
Rice Seeds

scholarly journals Flow cytometry of human semen: a preliminary study of a non-invasive method for the detection of spermatogenetic defects

2005 ◽  
Vol 20 (12) ◽  
pp. 3469-3475 ◽  
Author(s):  
N. Levek-Motola ◽  
Y. Soffer ◽  
L. Shochat ◽  
A. Raziel ◽  
L.M. Lewin ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Human Semen ◽  
Non Invasive ◽  
Invasive Method ◽  
Preliminary Study

Non-invasive and label-free identification of human natural killer subclasses by biophysical single-cell features in microfluidic flow

Lab on a Chip ◽  
2021 ◽  
Author(s):  
David Dannhauser ◽  
Domenico Rossi ◽  
Anna T Palatucci ◽  
Valentina Rubino ◽  
Flavia Carriero ◽  
...  
Keyword(s):  
Single Cell ◽  
Natural Killer ◽  
Label Free ◽  
Therapeutic Treatment ◽  
Non Invasive ◽  
Microfluidic Flow

Natural Killer (NK) are indicated as favorite candidates for innovative therapeutic treatment and are divided in two subclasses: immature regulatory NK CD56bright and mature cytotoxic NK CD56dim. Therefore, the ability...

scholarly journals Quantifying single-cell secretion in real time using resonant hyperspectral imaging

2018 ◽  
Vol 115 (52) ◽  
pp. 13204-13209 ◽  
Author(s):  
José Juan-Colás ◽  
Ian S. Hitchcock ◽  
Mark Coles ◽  
Steven Johnson ◽  
Thomas F. Krauss
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Protein Secretion ◽  
Cell Communication ◽  
Label Free ◽  
Cell Secretion ◽  
Physiological Disorder ◽  
Real Time Analysis ◽  
Technology Heterogeneity

Cell communication is primarily regulated by secreted proteins, whose inhomogeneous secretion often indicates physiological disorder. Parallel monitoring of innate protein-secretion kinetics from individual cells is thus crucial to unravel systemic malfunctions. Here, we report a label-free, high-throughput method for parallel, in vitro, and real-time analysis of specific single-cell signaling using hyperspectral photonic crystal resonant technology. Heterogeneity in physiological thrombopoietin expression from individual HepG2 liver cells in response to platelet desialylation was quantified demonstrating how mapping real-time protein secretion can provide a simple, yet powerful approach for studying complex physiological systems regulating protein production at single-cell resolution.

Application of single-cell real-time imaging flow cytometry in rapid detection of pathogenic fungi in clinical liquid specimens

2021 ◽  
Vol 9 (2) ◽  
pp. 025004
Author(s):  
Linting Lv ◽  
Li Dong ◽  
Jiajia Zheng ◽  
Tuohutaerbieke Maermaer ◽  
Xiangbo Huang ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
Real Time ◽  
Rapid Detection ◽  
Pathogenic Fungi ◽  
Real Time Imaging ◽  
Imaging Flow Cytometry

scholarly journals Accurate label-free 3-part leukocyte recognition with single cell lens-free imaging flow cytometry

2018 ◽  
Vol 96 ◽  
pp. 147-156 ◽  
Author(s):  
Yuqian Li ◽  
Bruno Cornelis ◽  
Alexandra Dusa ◽  
Geert Vanmeerbeeck ◽  
Dries Vercruysse ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
Label Free ◽  
Imaging Flow Cytometry

scholarly journals Using Flow Cytometry and Multistage Machine Learning to Discover Label-Free Signatures of Algal Lipid Accumulation

2018 ◽  
Author(s):  
Mohammad Tanhaemami ◽  
Elaheh Alizadeh ◽  
Claire Sanders ◽  
Babetta L. Marrone ◽  
Brian Munsky’
Keyword(s):  
Machine Learning ◽  
Flow Cytometry ◽  
Single Cell ◽  
Lipid Accumulation ◽  
Time Course ◽  
Fluorescent Dyes ◽  
Single Cell Analysis ◽  
Learning Approaches ◽  
Label Free ◽  
Unlabeled Cell

Abstract—Most applications of flow cytometry or cell sorting rely on the conjugation of fluorescent dyes to specific biomarkers. However, labeled biomarkers are not always available, they can be costly, and they may disrupt natural cell behavior. Label-free quantification based upon machine learning approaches could help correct these issues, but label replacement strategies can be very difficult to discover when applied labels or other modifications in measurements inadvertently modify intrinsic cell properties. Here we demonstrate a new, but simple approach based upon feature selection and linear regression analyses to integrate statistical information collected from both labeled and unlabeled cell populations and to identify models for accurate label-free single-cell quantification. We verify the method’s accuracy to predict lipid content in algal cells(Picochlorum soloecismus)during a nitrogen starvation and lipid accumulation time course. Our general approach is expected to improve label-free single-cell analysis for other organisms or pathways, where biomarkers are inconvenient, expensive, or disruptive to downstream cellular processes.

A high-throughput flow cytometry-on-a-CMOS platform for single-cell dielectric spectroscopy at microwave frequencies

Lab on a Chip ◽  
2018 ◽  
Vol 18 (14) ◽  
pp. 2065-2076 ◽  
Author(s):  
Jun-Chau Chien ◽  
Ali Ameri ◽  
Erh-Chia Yeh ◽  
Alison N. Killilea ◽  
Mekhail Anwar ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Dielectric Properties ◽  
Single Cell ◽  
High Throughput ◽  
Dielectric Spectroscopy ◽  
Free Flow ◽  
Label Free ◽  
Microwave Frequencies

This work presents a microfluidics-integrated label-free flow cytometry-on-a-CMOS platform for the characterization of the cytoplasm dielectric properties at microwave frequencies.

scholarly journals Gating a Single Cell: A Label-Free and Real-Time Measurement Method for Cellular Progression

2020 ◽  
Vol 92 (2) ◽  
pp. 1738-1745
Author(s):  
Saw Lin Oo ◽  
Shishir Venkatesh ◽  
Abdul-Mojeed Ilyas ◽  
Vaithinathan Karthikeyan ◽  
Clement Manohar Arava ◽  
...  
Keyword(s):  
Single Cell ◽  
Real Time ◽  
Measurement Method ◽  
Time Measurement ◽  
Label Free ◽  
Real Time Measurement
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