Biosensors and machine learning for enhanced detection, stratification, and classification of cells: a review

Electronic classification of barcoded particles for multiplexed detection using supervised machine learning analysis

(2020) Jianye Sui et al.   TALANTA

A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry

(2020) Carlos Honrado et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Applications of machine learning for simulations of red blood cells in microfluidic devices

(2020) Hynek Bachratý et al.   BMC BIOINFORMATICS

Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning

(2020) Hongda Wang et al.   Light-Science & Applications

Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images

(2019) Fatma Uslu et al.   Biomedical Signal Processing and Control

Biophysical phenotyping of single cells using a differential multiconstriction microfluidic device with self-aligned 3D electrodes

(2019) Dahou Yang et al.   BIOSENSORS & BIOELECTRONICS

Self-Learning Microfluidic Platform for Single-Cell Imaging and Classification in Flow

(2019) Iordania Constantinou et al.   Micromachines

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry

(2019) Yueqin Li et al.   Scientific Reports

Toward point-of-care assessment of patient response: a portable tool for rapidly assessing cancer drug efficacy using multifrequency impedance cytometry and supervised machine learning

(2019) Karan Ahuja et al.   Microsystems & Nanoengineering

Computational cytometer based on magnetically modulated coherent imaging and deep learning

(2019) Yibo Zhang et al.   Light-Science & Applications

Development of microfluidic impedance cytometry enabling the quantification of specific membrane capacitance and cytoplasm conductivity from 100,000 single cells

(2018) Yang Zhao et al.   BIOSENSORS & BIOELECTRONICS

Label-free sensor for automatic identification of erythrocytes using digital in-line holographic microscopy and machine learning

(2018) Taesik Go et al.   BIOSENSORS & BIOELECTRONICS

Biomarker definitions and their applications

(2018) Robert M Califf   EXPERIMENTAL BIOLOGY AND MEDICINE

Optofluidic time-stretch quantitative phase microscopy

(2018) Baoshan Guo et al.   METHODS

Label-free light-sheet microfluidic cytometry for the automatic identification of senescent cells

(2018) Meiai Lin et al.   Biomedical Optics Express

A microfluidic approach to study the effect of mechanical stress on erythrocytes in sickle cell disease

(2018) Maria Alejandra Lizarralde Iragorri et al.   LAB ON A CHIP

Deep Learning in Image Cytometry: A Review

(2018) Anindya Gupta et al.   CYTOMETRY PART A

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Deep Learning with Microfluidics for Biotechnology

(2018) Jason Riordon et al.   TRENDS IN BIOTECHNOLOGY

Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome

(2018) Bor-Sheng Ko et al.   EBioMedicine

Miniaturized Impedance Flow Cytometer: Design Rules and Integrated Readout

(2017) Marco Carminati et al.   IEEE Transactions on Biomedical Circuits and Systems

Statistical Association Mapping of Population-Structured Genetic Data

(2017) Amir Najafi et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Label-free, high-throughput holographic screening and enumeration of tumor cells in blood

(2017) Dhananjay Kumar Singh et al.   LAB ON A CHIP

A deep convolutional neural network for classification of red blood cells in sickle cell anemia

(2017) Mengjia Xu et al.   PLoS Computational Biology

Detection of extremely low concentration waterborne pathogen using a multiplexing self-referencing SERS microfluidic biosensor

(2017) Chao Wang et al.   Journal of Biological Engineering

Comparison of supervised machine learning algorithms for waterborne pathogen detection using mobile phone fluorescence microscopy

(2017) Hatice Ceylan Koydemir et al.   Nanophotonics

Precise Enumeration of Circulating Tumor Cells Using Support Vector Machine Algorithm on a Microfluidic Sensor

(2017) Jinhong Guo et al.   IEEE Transactions on Emerging Topics in Computing

Real-time Image Processing for Microscopy-based Label-free Imaging Flow Cytometry in a Microfluidic Chip

(2017) Young Jin Heo et al.   Scientific Reports

Microfluidics for the detection of minimal residual disease in acute myeloid leukemia patients using circulating leukemic cells selected from blood

(2016) Joshua M. Jackson et al.   ANALYST

Low-Power Miniaturized Helium Dielectric Barrier Discharge Photoionization Detectors for Highly Sensitive Vapor Detection

(2016) Hongbo Zhu et al.   ANALYTICAL CHEMISTRY

Cytopathological image analysis using deep-learning networks in microfluidic microscopy

(2016) G. Gopakumar et al.   JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting

(2016) Xiwei Huang et al.   SENSORS

Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine

(2016) Wanmao Ni et al.   Oncotarget

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

(2016) David A. Van Valen et al.   PLoS Computational Biology

Deep Learning in Label-free Cell Classification

(2016) Claire Lifan Chen et al.   Scientific Reports

A robust recognition error recovery for micro-flow cytometer by machine-learning enhanced single-frame super-resolution processing

(2015) Xiwei Huang et al.   INTEGRATION-THE VLSI JOURNAL

Deep learning

(2015) Yann LeCun et al.   NATURE

High-throughput optofluidic particle profiling with morphological and chemical specificity

(2015) Masashi Ugawa et al.   OPTICS LETTERS

A real-time characterization method to rapidly optimize molecular beacon signal for sensitive nucleic acids analysis

(2014) Albert Tsung-Hsi Hsieh et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Biomechanical properties of red blood cells in health and disease towards microfluidics

(2014) Giovanna Tomaiuolo   Biomicrofluidics

Low-cost experimentation for the study of droplet microfluidics

(2014) David Bardin et al.   LAB ON A CHIP

A Contact-Imaging Based Microfluidic Cytometer with Machine-Learning for Single-Frame Super-Resolution Processing

(2014) Xiwei Huang et al.   PLoS One

A Neural-Network-Based Approach to White Blood Cell Classification

(2014) Mu-Chun Su et al.   TheScientificWorldJOURNAL

A microfluidic system for cell type classification based on cellular size-independent electrical properties

(2013) Yang Zhao et al.   LAB ON A CHIP

A microfluidic impedance flow cytometer for identification of differentiation state of stem cells

(2013) Hongjun Song et al.   LAB ON A CHIP

Microfluidic characterization of specific membrane capacitance and cytoplasm conductivity of singlecells

(2012) Yi Zheng et al.   BIOSENSORS & BIOELECTRONICS

High-throughput biophysical measurement of human red blood cells

(2012) Yi Zheng et al.   LAB ON A CHIP

Hybrid Dispersion Laser Scanner

(2012) K. Goda et al.   Scientific Reports

Image processing and classification algorithm for yeast cell morphology in a microfluidic chip

(2011) Bo Yang Yu et al.   JOURNAL OF BIOMEDICAL OPTICS

Classification of cell types using a microfluidic device for mechanical and electrical measurement on single cells

(2011) Jian Chen et al.   LAB ON A CHIP

Fully integrated lab-on-a-disc for simultaneous analysis of biochemistry and immunoassay from whole blood

(2010) Beom Seok Lee et al.   LAB ON A CHIP

Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena

(2009) K. Goda et al.   NATURE

Computer-aided identification of ovarian cancer in confocal microendoscope images

(2008) Saurabh Srivastava et al.   JOURNAL OF BIOMEDICAL OPTICS