We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
20 resultsShowing papers similar to Connected Component Labelling in the determination of morphometric features of microplastic particles in samples of different matrices
ClearConnected Component Labelling in the determination of morphometric features of microplastic particles in samples of different matrices
Researchers developed a Connected Component Labeling (CCL) method using the Union-Find algorithm in C++ to automate morphometric analysis of microplastic particles in Baltic Sea fish tissues, enabling automatic measurement of particle area, size, and shape without manual microscope software input.
Application of Pattern Recognition and Computer Vision Tools to Improve the Morphological Analysis of Microplastic Items in Biological Samples
Researchers developed and validated an open-source image analysis procedure for measuring morphological characteristics of microplastic items identified in fish organ samples, using manually set edge points in digital microscope images and comparison against commercial MotiConnect software. The proposed workflow enabled accurate calculation of shape descriptors such as length, width, and item area, offering a cost-effective alternative for routine laboratory microplastic morphological analysis.
Automatic Counting and Classification of Microplastic Particles
Researchers developed an automatic system for counting and classifying microplastic particles in marine samples, applying image analysis techniques to address the growing problem of plastic debris entering the food chain via marine species ingestion.
Digital Image Analysis and Multivariate Data Analysis as Tools for the Identification of Microplastics in Surface Waters: The Case of the Vistula River (Central Europe)
Researchers demonstrated digital image analysis combined with microscopy as a tool for identifying and characterizing microplastic particles from Vistula River surface water samples, performing exhaustive quantitative and qualitative evaluation of 2D and 3D morphology to characterize MP abundance and composition.
Detection, counting and characterization of nanoplastics in marine bioindicators: a proof of principle study
Researchers demonstrated a proof-of-concept workflow for detecting and counting nanoplastic particles (below 1 µm) in marine invertebrate tissues using electron microscopy and spectroscopic confirmation, finding nanoplastics in marine bioindicator species and establishing a methodology for future monitoring programs.
Implementation of an open source algorithm for particle recognition and morphological characterisation for microplastic analysis by means of Raman microspectroscopy
An automated particle recognition algorithm was implemented to speed up the identification and measurement of microplastics in Raman spectroscopy images. Automated analysis reduces the time and subjectivity involved in manual microplastic counting, improving research efficiency.
A New Chemometric Approach for Automatic Identification of Microplastics from Environmental Compartments Based on FT-IR Spectroscopy
Researchers developed a new chemometric approach for automatic identification of microplastics from environmental samples, designed to handle the challenges of biofilm contamination and surface aging that typically impede standard spectroscopic characterisation methods.
Microplastics’ Shape and Morphology Analysis in the Presence of Natural Organic Matter Using Flow Imaging Microscopy
Researchers introduced an innovative flow imaging microscopy approach for rapidly identifying and quantifying microplastics in wastewater treatment plant samples. The study demonstrates that this method can simultaneously capture and classify polyethylene and polystyrene particles while also analyzing how natural organic matter affects microplastic shape and morphology.
Microplastics in Commercial Fishes and By-Catch from Selected FAO Major Fishing Areas of the Southern Baltic Sea
Researchers found microplastics in both edible and non-edible organs of five fish species from the southern Baltic Sea, with 1-12 particles per fish dominated by fibers, and polymers including cellophane, polyamide, polyethylene, and polypropylene identified by FTIR spectroscopy.
2D imaging tools for harmonisation in plastic pollution data
Researchers evaluated four 2D imaging and image segmentation methodologies for measuring the morphological characteristics -- size, shape, and colour -- of mesoplastics and microplastics, aiming to harmonize physical characterization data across studies conducted in different marine environments.
Rapid methods for the quantification of ingested nano-and microplastics in marine fish by imaging flow cytometry
Researchers developed a rapid, high-throughput method using imaging flow cytometry to quantify nano- and microplastics ingested by marine fish. The optimized technique uses Nile Red fluorescent staining and morphology-based corrections to accurately count plastic particles, providing a faster and more reliable alternative to conventional detection methods for ecological risk assessments.
Investigation of Detection Method for Nanoplastics in Shellfish
Researchers investigated detection methods for nanoplastics in shellfish, evaluating analytical techniques capable of identifying and quantifying nanoscale plastic particles in bivalve tissues. The study addresses the methodological challenges of isolating and characterizing nanoplastics from complex biological matrices.
Comparative analysis of microplastic pollution in commercially relevant seafood across different geographical regions
This study compared microplastic contamination across commercially relevant seafood species commonly consumed in the European market, characterizing both the morphological and chemical properties of particles found in edible tissue. Results showed widespread but variable contamination across species, with polymer types and particle abundance differing by species and tissue type.
Razvoj mjernog postupka za detekciju mikro i nanoplastičnih čestica u uzorcima tkiva
This thesis developed and evaluated a measurement procedure for detecting micro- and nanoplastic particles in tissue samples, reviewing tissue digestion methods and applying optical microscopy and spectroscopy for particle identification. Micro- and nanoplastic particles were successfully identified in tissue samples alongside other contaminants, advancing methods for studying internal human and animal microplastic accumulation.
Morphological description of microplastic particles for environmental fate studies
Researchers proposed a standardized morphological classification system for microplastic particles based on three-dimensional measurements of the smallest enclosing parallelepiped, offering a more objective framework for describing particle shape to improve cross-study comparability.
Novel methodology for identification and quantification of microplastics in biological samples
Researchers validated a protocol for identifying and quantifying polyethylene microplastics in biological samples, finding that membrane filtration caused particle retention problems and that flow cytometry offered a more reliable alternative for analysis of biological digests.
Identification Tools of Microplastics from Surface Water Integrating Digital Image Processing and Statistical Techniques
This study demonstrated that digital image analysis can automate and improve the characterization of microplastic particles collected from river water, capturing detailed shape, color, and size data that manual microscopy cannot easily achieve at scale. Better identification tools like this are essential for standardizing microplastic monitoring across different waterways and research groups.
An investigation on the applications of advanced Infrared Spectroscopy, Spectral Imaging and Machine Learning for Polymer Characterization, including microplastics
This study integrated advanced infrared spectroscopy, spectral imaging, chemometrics, and machine learning to identify and characterize microplastics and polymer degradation products. The combination of techniques improved both the accuracy and throughput of MP analysis compared to conventional methods.
Spectro‐Microscopic Techniques for Studying Nanoplastics in the Environment and in Organisms
This review examines spectro-microscopic techniques for detecting and characterizing nanoplastics (under 1 um) in environmental and biological matrices, arguing that effective analysis requires combining particle imaging with chemical characterization of the same particles, and highlighting methods capable of simultaneous morphological and chemical identification.
A semi-automated Raman micro-spectroscopy method for morphological and chemical characterizations of microplastic litter
Researchers developed a semi-automated Raman micro-spectroscopy method coupled with static image analysis for characterizing microplastics, achieving morphological and chemical identification of over 1,000 particles in under three hours, with polyethylene, polystyrene, and polypropylene as the dominant types in the environmental sample.