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RESEARCH PAPER · ACS Central Science · 2020

Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set

Sagi Eppel, Haoping Xu, Mor Bismuth, Alán Aspuru‐Guzik

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Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data SetOriginalAutomation of Synthesis in Medicinal Chemistry: Progress and Challenges35Automated Liquid-Level Monitoring and Control using Computer Vision17Automated Liquid-Level Monitoring and Control using Computer Vision16Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials24Automated solubility screening platform using computer vision77U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab0Applied Machine Learning for Developing Next‐Generation Functional Materials72Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects5Predicting 3D shapes, masks, and properties of materials inside transparent containers, using the TransProteus CGI dataset16Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept12Parallel Image Processing for Liquid Level Detection4Near Infrared Sensor Setup for General Interface Detection in Automatic Liquid-Liquid Extraction Processes3Recent advances and applications of deep learning methods in materials science1161SOLIS: Autonomous Solubility Screening using Deep Neural Networks9Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab294Image-based machine learning for materials science54Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping41An Optical Approach for Cell Pellet Detection1A focus on computer vision for non-contact monitoring of catalyst degradation and product formation kinetics1Go with the flow: deep learning methods for autonomous viscosity estimations24Workshop on Computer Vision for Bioanalytical Chemists: Classification and Detection of Amoebae Using Optical Microscopy Image Analysis with Machine Learning11Machine Learning in Unmanned Systems for Chemical Synthesis8AtomVision: A Machine Vision Library for Atomistic Images14Automated Image-Based Color Analysis as an Accessible and Widely Applicable PAT Tool13Intelligent vision for the detection of chemistry glassware toward AI robotic chemists14Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development39One-shot recognition of any material anywhere using contrastive learning with physics-based rendering10Large language models for chemistry robotics110Deep learning object detection for tracing the plasma portion of whole blood from images of medical sample containers0First-principles and machine learning investigation on A4BX6 halide perovskites4Application of object detection and action recognition toward automated recognition of chemical experiments8Autonomous millimeter scale high throughput battery research system12Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)0Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)1Comprehensive image dataset for enhancing object detection in chemical experiments8Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)0Machine vision-based detections of transparent chemical vessels toward the safe automation of material synthesis16Computer Vision and Deep Learning Enabled Real-Time Liquid Level Detection and Measurement in Transparent Containers4Continuous and autonomous-flow separation of laccase enzyme utilizing functionalized aqueous two-phase system with computer vision control9Transfer Learning Using Teachable Machine For Classification Of Glassware In Chemistry Lab0From eyes to cameras: Computer vision for high-throughput liquid-liquid separation17Multimodal 3D measurement setup for generating multimodal real-world data sets for AI-based transparent object recognition0An Enhanced UNet-based Framework for Robust Depth Completion of Transparent Objects from Single RGB-D Images2Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation14Self-Driving Laboratories for Chemistry and Materials Science674Application and integration of computer vision technologies for automated recognition and recording of chemical experiments2ORGANA: A robotic assistant for automated chemistry experimentation and characterization131Empowering Lab Education: Integrating a Vision-Based Monitoring System with Small-Scale Self-Driving Experiment Platforms1Vision-based robot manipulation of transparent liquid containers in a laboratory setting7Intelligent Systems for Inorganic Nanomaterial Synthesis38A Software-Defined Sensor System Using Semantic Segmentation for Monitoring Remaining Intravenous Fluids2AI Approaches to Homogeneous Catalysis with Transition Metal Complexes47Parameter efficient multi-model vision assistant for polymer solvation behaviour inference2Computer Vision in Chemical Reaction Monitoring and Analysis0You Only Put Your Nanoparticle: A Fully Automated System for Nanoparticle Washing Enabled by Vision and Language AI0Movable optical sensor for automatic detection and monitoring of liquid–liquid interfaces0Steering towards safe self-driving laboratories41Perspective on utilizing foundation models for laboratory automation in materials research2A Visual Dataset for Anomaly Detection in Self-Driving Laboratories4TORM: Transparent Objects Reconstruction and Manipulation With Multi-View Segmentation1Localization, inspection, and reasoning (LIRA) module for autonomous workflows in self-driving laboratories4Perspectives for artificial intelligence in bioprocess automation13MODNet: A Monocular Object-Based Depth Estimation Network for AI Robotic Chemists2Predicting Lattice Parameters from Atomic-Scale Images of Two Dimensional Materials Using Deep Learning0Computer vision for high-throughput materials synthesis: a tutorial for experimentalists6Context-aware computer vision for chemical reaction state detection1Toward self-driving laboratory 2.0 for chemistry and materials discovery15Fast Image Segmentation Toward Automation of 3D Ice Printing0General-Purpose Models for the Chemical Sciences: LLMs and Beyond6Overcoming Roadblocks for Implementing AI/ML Methods for Materials Advancement3WPIS: From In-the-Wild Web Images to Physics-Aware 3D Scene Graphs for Physical Reasoning0A fully adaptive automated system for nanoparticle washing enabled by vision and language AI0Chem-SDI: Segmentation, detection, and inference model for AI robotic chemists in automated liquid-liquid extraction workflow0Source-Grouped Recall-Matched Calibration for Reducing Detector Review Queues0

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  1. Automation of Synthesis in Medicinal Chemistry: Progress and Challenges

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  2. Automated Liquid-Level Monitoring and Control using Computer Vision

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  3. Automated Liquid-Level Monitoring and Control using Computer Vision

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  4. Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

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  5. Automated solubility screening platform using computer vision

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  6. U-Net Convolutional Network for Recognition of Vessels and Materials in Chemistry Lab

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  7. Applied Machine Learning for Developing Next‐Generation Functional Materials

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  8. Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects

    arXiv (Cornell University) · 2021-09-30

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  9. Predicting 3D shapes, masks, and properties of materials inside transparent containers, using the TransProteus CGI dataset

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  10. Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept

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  11. Parallel Image Processing for Liquid Level Detection

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  12. Near Infrared Sensor Setup for General Interface Detection in Automatic Liquid-Liquid Extraction Processes

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  14. SOLIS: Autonomous Solubility Screening using Deep Neural Networks

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  15. Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab

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  16. Image-based machine learning for materials science

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  17. Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping

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  18. An Optical Approach for Cell Pellet Detection

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  19. A focus on computer vision for non-contact monitoring of catalyst degradation and product formation kinetics

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  20. Go with the flow: deep learning methods for autonomous viscosity estimations

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  21. Workshop on Computer Vision for Bioanalytical Chemists: Classification and Detection of Amoebae Using Optical Microscopy Image Analysis with Machine Learning

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  22. Machine Learning in Unmanned Systems for Chemical Synthesis

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