Search Results - "Nattkemper, Tim W"
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Spatio-Temporal Metabolite Profiling of the Barley Germination Process by MALDI MS Imaging
Published in PloS one (03-03-2016)“…MALDI mass spectrometry imaging was performed to localize metabolites during the first seven days of the barley germination. Up to 100 mass signals were…”
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Deep learning-based diatom taxonomy on virtual slides
Published in Scientific reports (02-09-2020)“…Deep convolutional neural networks are emerging as the state of the art method for supervised classification of images also in the context of taxonomic…”
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The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects
Published in Sensors (Basel, Switzerland) (19-07-2022)“…Data augmentation is an established technique in computer vision to foster the generalization of training and to deal with low data volume. Most data…”
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MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration
Published in PloS one (16-11-2018)“…Digital imaging has become one of the most important techniques in environmental monitoring and exploration. In the case of the marine environment, mobile…”
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ALMI-A Generic Active Learning System for Computational Object Classification in Marine Observation Images
Published in Sensors (Basel, Switzerland) (06-02-2021)“…In recent years, an increasing number of cabled Fixed Underwater Observatories (FUOs) have been deployed, many of them equipped with digital cameras recording…”
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BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections
Published in Frontiers in Marine Science (28-03-2017)“…Combining state-of-the art digital imaging technology with different kinds of marine exploration techniques such as modern AUV (autonomous underwater vehicle),…”
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MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data
Published in BMC bioinformatics (08-07-2022)“…Abstract Background Modern mass spectrometry has revolutionized the detection and analysis of metabolites but likewise, let the data skyrocket with…”
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The quest for seafloor macrolitter: a critical review of background knowledge, current methods and future prospects
Published in Environmental research letters (01-02-2021)“…The seafloor covers some 70% of the Earth’s surface and has been recognised as a major sink for marine litter. Still, litter on the seafloor is the least…”
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Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory
Published in Scientific reports (29-04-2019)“…An array of sensors, including an HD camera mounted on a Fixed Underwater Observatory (FUO) were used to monitor a cold-water coral ( Lophelia pertusa ) reef…”
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Unsupervised Knowledge Transfer for Object Detection in Marine Environmental Monitoring and Exploration
Published in IEEE access (01-01-2020)“…The volume of digital image data collected in the field of marine environmental monitoring and exploration has been growing in rapidly increasing rates in…”
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On the impact of Citizen Science-derived data quality on deep learning based classification in marine images
Published in PloS one (12-06-2019)“…The evaluation of large amounts of digital image data is of growing importance for biology, including for the exploration and monitoring of marine habitats…”
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Detection and visualization of communities in mass spectrometry imaging data
Published in BMC bioinformatics (04-06-2019)“…The spatial distribution and colocalization of functionally related metabolites is analysed in order to investigate the spatial (and functional) aspects of…”
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Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint
Published in PloS one (24-02-2023)“…Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eukaryotes. Light microscopy-based taxonomic identification…”
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Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN
Published in PloS one (05-06-2012)“…Megafauna play an important role in benthic ecosystem function and are sensitive indicators of environmental change. Non-invasive monitoring of benthic…”
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Fast visual exploration of mass spectrometry images with interactive dynamic spectral similarity pseudocoloring
Published in Scientific reports (25-02-2021)“…Mass Spectrometry Imaging (MSI) is an established and still evolving technique for the spatial analysis of molecular co-location in biological samples…”
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TACOA: taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach
Published in BMC bioinformatics (11-02-2009)“…Metagenomics, or the sequencing and analysis of collective genomes (metagenomes) of microorganisms isolated from an environment, promises direct access to the…”
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Phylogenetic classification of short environmental DNA fragments
Published in Nucleic acids research (01-04-2008)“…Metagenomics is providing striking insights into the ecology of microbial communities. The recently developed massively parallel 454 pyrosequencing technique…”
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An Interactive Visualization for Feature Localization in Deep Neural Networks
Published in Frontiers in artificial intelligence (23-07-2020)“…Deep artificial neural networks have become the go-to method for many machine learning tasks. In the field of computer vision, deep convolutional neural…”
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Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification
Published in Frontiers in Marine Science (14-07-2020)“…In marine research, image data sets from the same area but collected at different times allow seafloor fauna communities to be monitored over time. However,…”
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A Digital Light Microscopic Method for Diatom Surveys Using Embedded Acid-Cleaned Samples
Published in Water (Basel) (01-10-2022)“…Diatom identification and counting by light microscopy of permanently embedded acid-cleaned silicate shells (frustules) is a fundamental method in ecological…”
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