Research graph
References from 3D Coherent imaging with machine learning for rapid identification of microplastics. Local targets link to admitted publications; unresolved targets remain external evidence.
Marine microplastic debris: An emerging issue for food security, food safety and human health
10.1016/j.marpolbul.2018.05.047 · 2018 · External reference
Accumulation of microplastic on shorelines worldwide: Sources and sinks
10.1021/es201811s · 2011 · External reference
Deep learning-enabled rapid quantification of microplastics using digital holographic microscopy
2023 · External reference
Three-dimensional label-free imaging and quantification of microstructures using optical diffraction tomography
2020 · External reference
Microplastics as contaminants in the marine environment: A review
10.1016/j.marpolbul.2011.09.025 · 2014 · External reference
Deep learning-based reconstruction for optical diffraction tomography
2022 · External reference
Unresolved reference
2012 · External reference
Unresolved reference
2017 · External reference
An image is worth 16×16 words: Transformers for image recognition at scale
2021 · External reference
Holographic reconstruction of three-dimensional objects using angular spectrum methods
2020 · External reference
Plastic pollution in the world's oceans: More than 5 trillion plastic pieces weighing over 250,000 tons afloat at sea
10.1371/journal.pone.0111913 · 2014 · External reference
Phase retrieval algorithms: A comparison
2013 · External reference
3D convolutional neural networks for microplastic detection in complex matrices
2022 · External reference
Current opinion: What is a nanoplastic?
10.1016/j.envpol.2018.01.024 · 2018 · External reference
Unresolved reference
2016 · External reference
Computational phase retrieval and three-dimensional optical imaging
2019 · External reference
Deep learning for visual understanding: A critical review
2022 · External reference
Occurrence and characteristics of microplastics in French mussels (mytilus spp.)
2017 · External reference
Optical coherence tomography
10.1126/science.1957169 · 1991 · External reference
Plastic waste inputs from land into the ocean
10.1126/science.1260352 · 2015 · External reference
Identification of microplastics by FTIR and raman microscopy
2016 · External reference
Synaptic reconstruction of micro-scale neural circuits from volume electron microscopy data
2015 · External reference
Real-time microplastic identification using optical diffraction tomography and deep learning
2022 · External reference
Super-resolution label-free volumetric imaging of biological cells using optical diffraction tomography
2018 · External reference
Anthropogenic contamination of tap water, beer, and sea salt
10.1371/journal.pone.0194970 · 2018 · External reference
Quantitative phase imaging techniques for the study of cell pathophysiology: From principles to applications
10.3390/s130404170 · 2013 · External reference
Label-free and rapid identification of microplastics using 3D coherent imaging and machine learning
2021 · External reference
Portable deep learning system for field-based microplastic detection
2023 · External reference
High-throughput quantification and classification of microplastics using fluorescent tagging and deep learning
2020 · External reference
Three-dimensional imaging and machine learning for rapid microplastic quantification
2022 · External reference
Machine learning enables automated identification and quantification of microplastics in environmental samples
2022 · External reference
End-to-end deep learning pipeline for microplastic detection in volumetric images
2023 · External reference
Invited review: A unified evaluation of iterative projection algorithms for phase retrieval
10.1063/1.2403783 · 2007 · External reference
Methods for interpreting and understanding deep neural networks
10.1016/j.dsp.2017.10.011 · 2018 · External reference
Label-free, three-dimensional imaging of microplastics in water via coherent optical tomography
2020 · External reference
Automated 3D imaging and quantification of microplastics in environmental samples
2022 · External reference
Synthetic microplastic libraries for training deep learning models in environmental monitoring
2023 · External reference
Holographic and interferometric metrology
2016 · External reference
Arctic sea ice is an important temporal sink and means of transport for microplastic
10.1038/s41467-018-03825-5 · 2018 · External reference
Microplastics in seafood and the implications for human health
2018 · External reference
Methods for sampling and detection of microplastics in water and freshwaters
10.1016/j.trac.2018.10.029 · 2019 · External reference
Long-term field measurement of sorption of organic contaminants to microplastic pellets at the sea surface
2013 · External reference
U-Net: Convolutional networks for biomedical image segmentation
2015 · External reference
Recent advances in microplastics analysis by raman spectroscopy
2022 · External reference
Microplastics in aquatic environments: Implications for water quality and aquatic organisms
2017 · External reference
Microplastics in the ocean
2015 · External reference
A survey on image data augmentation for deep learning
10.1186/s40537-019-0197-0 · 2019 · External reference
Microplastics in seafood and the implications for human health
10.1007/s40572-018-0206-z · 2018 · External reference
Optical diffraction tomography for high-resolution live cell imaging
10.1364/oe.17.000266 · 2009 · External reference
Plastics, the environment and human health: Current consensus and future trends
10.1098/rstb.2009.0053 · 2009 · External reference
Real-time microplastic detection using deep learning and 3D coherent imaging
2022 · External reference
Deep learning for hyperspectral image analysis: A review
2021 · External reference
Coherent optical imaging for label-free characterization of transparent microstructures
2021 · External reference
The physical impacts of microplastics on marine organisms: A review
10.1016/j.envpol.2013.02.031 · 2013 · External reference
Label-free identification of microplastics using optical coherence tomography
2015 · External reference
Snapshot optical tomography and coherent imaging
2017 · External reference
Deep learning-based classification of microplastics using phase and volume reconstructions
2021 · External reference
Deep learning for optical imaging: A review
2020 · External reference
Comparative analysis of raman, FTIR, and fluorescence microscopy for microplastic detection
2021 · External reference
Unet++: A nested U-Net architecture for medical image segmentation
10.1109/tmi.2019.2959609 · 2021 · External reference
Microplastics in seafood and the implications for human health
10.1007/s40572-018-0206-z · ExternalCitation · doi-reference
Methods for interpreting and understanding deep neural networks
10.1016/j.dsp.2017.10.011 · ExternalCitation · doi-reference
The physical impacts of microplastics on marine organisms: A review
10.1016/j.envpol.2013.02.031 · ExternalCitation · doi-reference
Current opinion: What is a nanoplastic?
10.1016/j.envpol.2018.01.024 · ExternalCitation · doi-reference
Microplastics as contaminants in the marine environment: A review
10.1016/j.marpolbul.2011.09.025 · ExternalCitation · doi-reference
Marine microplastic debris: An emerging issue for food security, food safety and human health
10.1016/j.marpolbul.2018.05.047 · ExternalCitation · doi-reference
Methods for sampling and detection of microplastics in water and freshwaters
10.1016/j.trac.2018.10.029 · ExternalCitation · doi-reference
Accumulation of microplastic on shorelines worldwide: Sources and sinks
10.1021/es201811s · ExternalCitation · doi-reference
Arctic sea ice is an important temporal sink and means of transport for microplastic
10.1038/s41467-018-03825-5 · ExternalCitation · doi-reference
Invited review: A unified evaluation of iterative projection algorithms for phase retrieval
10.1063/1.2403783 · ExternalCitation · doi-reference
Plastics, the environment and human health: Current consensus and future trends
10.1098/rstb.2009.0053 · ExternalCitation · doi-reference
Unet++: A nested U-Net architecture for medical image segmentation
10.1109/tmi.2019.2959609 · ExternalCitation · doi-reference
Plastic waste inputs from land into the ocean
10.1126/science.1260352 · ExternalCitation · doi-reference
Optical coherence tomography
10.1126/science.1957169 · ExternalCitation · doi-reference
A survey on image data augmentation for deep learning
10.1186/s40537-019-0197-0 · ExternalCitation · doi-reference
Optical diffraction tomography for high-resolution live cell imaging
10.1364/oe.17.000266 · ExternalCitation · doi-reference
Plastic pollution in the world's oceans: More than 5 trillion plastic pieces weighing over 250,000 tons afloat at sea
10.1371/journal.pone.0111913 · ExternalCitation · doi-reference
Anthropogenic contamination of tap water, beer, and sea salt
10.1371/journal.pone.0194970 · ExternalCitation · doi-reference
Quantitative phase imaging techniques for the study of cell pathophysiology: From principles to applications
10.3390/s130404170 · ExternalCitation · doi-reference
