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RESEARCH PAPER · Lab on a Chip · 2020

AI on a chip

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AI on a chipOriginalAnalysis of signal detection configurations in optical time-stretch imaging4Is microfluidics the “assembly line” for CRISPR-Cas9 gene-editing?93D side-scattering imaging flow cytometer and convolutional neural network for label-free cell analysis19Dual-Comb Coherent Raman Spectroscopy with near 100% Duty Cycle37Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis129Closed-loop feedback control of microfluidic cell manipulation via deep-learning integrated sensor networks42Droplet flow cytometry for single-cell analysis83Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry147Microfluidic formation of crystal-like structures33Non-invasive and label-free identification of human natural killer cell subclasses by biophysical single-cell features in microfluidic flow13Optofluidic ptychography on a chip25Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning54Development of an Automated Optical Inspection System for Rapidly and Precisely Measuring Dimensions of Embedded Microchannel Structures in Transparent Bonded Chips6Imaging-based screens of pool-synthesized cell libraries18The Synergy between Organ-on-a-Chip and Artificial Intelligence for the Study of NAFLD: From Basic Science to Clinical Research29The landscape of circulating platelet aggregates in COVID-190SERS-based test strips: Principles, designs and applications198Functional liquid droplets for analyte sensing and energy harvesting15Automated synthesis of gadopentetate dimeglumine through solid-liquid reaction in femtosecond laser fabricated microfluidic chips6Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach35Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry35AI ON A CHIP FOR IDENTIFYING MICROALGAL CELLS WITH HIGH HEAVY METAL REMOVAL EFFICIENCY2Perspective - what constitutes a quality analytical paper: Microfluidics and Flow analysis2Droplet based microfluidics integrated with machine learning82Synthetic hydrogel nanoparticles for sepsis therapy79Exploiting machine learning for bestowing intelligence to microfluidics75High‐throughput sorting of nanoliter droplets enabled by a sequentially addressable dielectrophoretic array17Directed Evolution in Drops: Molecular Aspects and Applications21Single-cell electrical characterization5Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning44Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization103Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-1985Understanding stenosis-induced platelet aggregation on a chip by high-speed optical imaging14Deciphering impedance cytometry signals with neural networks64Deep imaging flow cytometry36Information metasurfaces and intelligent metasurfaces74Innovative technological advancements in laboratory medicine: Predicting the lab of the future38Machine learning for microfluidic design and control166Microfluidic flow cytometry for blood-based biomarker analysis34Rapid video-based deep learning of cognate versus non-cognate T cell-dendritic cell interactions5A Review of Microfluidic Devices for Rheological Characterisation60Multispectral Imaging Flow Cytometry with Spatially and Spectrally Resolving Snapshot-Mosaic Cameras for the Characterization and Classification of Bioparticles3Early Predictor Tool of Disease Using Label-Free Liquid Biopsy-Based Platforms for Patient-Centric Healthcare15Artificial Intelligence-Controlled Microfluidic Device for Fluid Automation and Bubble Removal of Immunoassay Operated by a Smartphone76Artificial intelligence to bring nanomedicine to life189Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects127Ultra-selective tin oxide-based chemiresistive gas sensor employing signal transform and machine learning techniques64Intelligent image‐activated sorting of Chlamydomonas reinhardtii by mitochondrial localization13Intelligent sort‐timing prediction for image‐activated cell sorting13On the hydrodynamic mutual interactions among cells for high-throughput microfluidic holographic cyto-tomography15Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment91Patterning Wettability for Open-Surface Fluidic Manipulation: Fundamentals and Applications133Low-latency label-free image-activated cell sorting using fast deep learning and AI inferencing36Cell-Free Production Systems in Droplet Microfluidics5Functions and applications of artificial intelligence in droplet microfluidics49Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae11Label-free microfluidic cell sorting and detection for rapid blood analysis158Machine learning classification of polar sub-phases in liquid crystal MHPOBC19Multichannel electrochemical workstation-based data collection combined with machine learning for online analysis of tyrosine4Optofluidic imaging meets deep learning: from merging to emerging28Revolutionizing microfluidics with artificial intelligence: a new dawn for lab-on-a-chip technologies26Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions55Modular microfluidics for life sciences105A hybrid model for text classification using part-of-speech features4A fully integrated wearable ultrasound system to monitor deep tissues in moving subjects364Deep learning with microfluidics for on-chip droplet generation, control, and analysis38Engineering Distance Learning: The Promise and Challenges of Microfluidics2Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning11Glyphosate Separating and Sensing for Precision Agriculture and Environmental Protection in the Era of Smart Materials60Bio-inspired microfluidics: A review13Enhancing single-cell biology through advanced AI-powered microfluidics22Machine learning enhanced droplet microfluidics23Printhead on a chip: empowering droplet-based bioprinting with microfluidics33Addressing the sample volume dependency of the colorimetric glucose measurement on microfluidic paper-based and thread/paper-based analytical devices using a novel low-cost analytical viewpoint6Artificial intelligence-aiding lab-on-a-chip workforce designed oral [3.1.0] bi and [4.2.0] tricyclic catalytic interceptors inhibiting multiple SARS-CoV-2 protomers assisted by double-shell deep learning6Development of an automated platform for monitoring microfluidic reactors through multi-reactor integration and online (chip-)LC/MS-detection12High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications84Label-free cell classification in holographic flow cytometry through an unbiased learning strategy25高速光流控成像研究进展(特邀)1Fluorescence-based multifunctional light sheet imaging flow cytometry for high-throughput optical interrogation of live cells8Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications59Envisioning the Future of High-Throughput Biomedical Assays through the Convergence of AI and Droplet Microfluidics2Exploring Adaptive Data Acquisition Technology for Chip-based Communication Transmission Link0A portable and integrated traveling-wave electroosmosis microfluidic pumping system driven by triboelectric nanogenerator13Recent advances in Organ-on-a-Chip models: How precision engineering integrates cutting edge technologies in fabrication and characterization29Advances in AI-assisted biochip technology for biomedicine28Magnetic levitation-based miniaturized technologies for advanced diagnostics15Latest Trends in MASINT Technologies for CBRNe Threats1Integration of Artificial Intelligence and Computational Thinking in Lab-on-a-chip Technology for Quality Improvement in Healthcare8Lab-on-a-chip – Reform, Perform, and Transform0Lab-on-a-chip: Unit Operations to Scale-up Strategies5Miniaturized Devices: A Silk Route for Innovative Commercial Prospects2Lab on chip with green miniaturized technologies1High-throughput optical imaging technology for large-scale single-cell analysis of live Euglena gracilis7The issue of technological sovereignty in the 21st century: the concept, peculiarity and experience of China1Ultra-low-power-consuming liquid-water-based optoelectronic computing chip6Estimating the effects of x-ray radiations on lymphocytes by minimally invasive holographic imaging flow cytometry2Multicolor iLIFE (m-iLIFE) volume cytometry for high-throughput imaging of multiple organelles0Evolutions of interfacial microstructures in Cu/SiO2 hybrid joints during temperature cycling tests7Deep Learning‐Assisted Label‐Free Parallel Cell Sorting with Digital Microfluidics41Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications30Artificial Intelligence-Assisted Microfluidic Bio-Imaging—From Sensors to Applications: A Review6Transformative laboratory medicine enabled by microfluidic automation and artificial intelligence26Towards Nanozyme-based Biosensors for Internet of Things and Related Applications: A Cost-effective Approach to Healthcare Monitoring2Chip Architecture for AI - A Comprehensive Survey of Design Principles, Technologies, and Implementations1Advancing sustainable energy solutions with microfluidic porous media18An ischemic stroke-on-a-chip model integrated with machine learning for screening of drug candidates7A novel approach for predicting the separation in column chromatography elution using microchannel countercurrent reverse extraction: Essential correlation of confined mass transfer kinetics3Microfluidics with Machine Learning for Biophysical Characterization of Cells10Salient Aspects of 3D Printed Microfluidic Device–Based Organ‐on‐a‐Chip Models for Futuristic Healthcare Applications0The Scalable Octagonal-Cross-By-Pass-Torus topology for the on-chip-communication2Next-generation microfluidics based on artificial intelligence: Applications for food sample analysis18Machine learning in point-of-care testing: innovations, challenges, and opportunities239Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis7AI-Assisted Simulation and Performance Enhancement of Microfluidic Device Systems for Improved Structural Integrity0High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects8Application of Artificial Intelligence in the Development of Traditional Chinese Medicine6Emergent photonics for cardiovascular health17H2C-Scheduler: An Efficient and Scalable Job Scheduling Method for Hybrid Heterogeneous AI Computing Clusters0Hybrid physics-data-driven deep learning for pore-scale transport in microfluidic system5Leveraging Artificial Intelligence in Anesthesiology Research and Article Writing: Opportunities, Challenges, and Best Practices1From droplets to diagnosis: AI-driven imaging and system integration in digital nucleic acid amplification testing21Sealable capped nanovials for high-throughput screening of cell growth and function1Image-activated cell sorting28The Convergence of Artificial Intelligence and Microfluidics in Drug Research and Development18Sharpness-aware minimization with physics-informed regularizations for predicting semiconductor material properties in molecular dynamics3Lab-on-a-chip technologies: The future of precision medicine and high-throughput biomolecular analysis15Progress of lateral flow assays for the detection of molecular and microbial species: from basic formats to microfluids, CRISPR and artificial intelligence0Single-pixel imaging flow cytometry for biomedical research5Artificial Intelligence-Aided Microfluidic Cell Culture Systems12Associating the morphology of helper T cells with cytokine activity through imaging flow cytometry and deep learning0Modern tools, languages, and systems available for implementing artificial intelligence algorithms0AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip14Components of metabolic syndrome affect COVID-19 outcomes via platelet aggregation1Droplet microfluidics for biomedical applications: emerging trends and future developments24Artificial Intelligence enabled data analysis for microfluidic impedance flow cytometry: a comprehensive review0A perspective on machine learning applied to droplet microfluidics4Managing maternity: Moving care, not patients, using artificial intelligence ( AI ), internet‐of‐things ( IOT ) and point‐of‐care testing ( POCT ) devices4The Tumor Microenvironment: Translating Intravital Insights into Microphysiological Systems0Artificial intelligence in miniaturized systems Point-of-Care and forensic approach1

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  2. Is microfluidics the “assembly line” for CRISPR-Cas9 gene-editing?

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  3. 3D side-scattering imaging flow cytometer and convolutional neural network for label-free cell analysis

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  4. Dual-Comb Coherent Raman Spectroscopy with near 100% Duty Cycle

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  5. Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis

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  9. Microfluidic formation of crystal-like structures

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

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  13. Development of an Automated Optical Inspection System for Rapidly and Precisely Measuring Dimensions of Embedded Microchannel Structures in Transparent Bonded Chips

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  14. Imaging-based screens of pool-synthesized cell libraries

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  16. The landscape of circulating platelet aggregates in COVID-19

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  17. SERS-based test strips: Principles, designs and applications

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  18. Functional liquid droplets for analyte sensing and energy harvesting

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  19. Automated synthesis of gadopentetate dimeglumine through solid-liquid reaction in femtosecond laser fabricated microfluidic chips

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  35. Deep imaging flow cytometry

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  41. A Review of Microfluidic Devices for Rheological Characterisation

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  44. Artificial Intelligence-Controlled Microfluidic Device for Fluid Automation and Bubble Removal of Immunoassay Operated by a Smartphone

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  45. Artificial intelligence to bring nanomedicine to life

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  50. On the hydrodynamic mutual interactions among cells for high-throughput microfluidic holographic cyto-tomography

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