Clemeleonte/MicroplasticsQuantificationAI: MicroplasticQuantificationAI_v1.0.0

Clementina Vitali

doi:10.5281/zenodo.7809430

Clemeleonte/MicroplasticsQuantificationAI: MicroplasticQuantificationAI_v1.0.0

Clementina Vitali^*

^*Corresponding author for this work

Research output: Non-textual form › Software

Abstract

The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics

Original language	English
Publisher	Wageningen University & Research
DOIs	https://doi.org/10.5281/zenodo.7809430
Publication status	Published - 1 Jan 2023

Keywords

Artificial intelligence
Bottled water
Fluorescence microscopy
Method validation
Microplastic
Nile red

Access to Document

10.5281/zenodo.7809430Licence: Other

1 Article

Quantitative image analysis of microplastics in bottled water using artificial intelligence
Vitali, C., Peters, R. J. B., Janssen, H. G., Undas, A. K., Munniks, S., Ruggeri, F. S. & Nielen, M. W. F., 1 Jan 2024, In: Talanta. 266, 11 p., 124965.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
68 Link opens in a new tab Citations (Scopus)

2 Finished

MONPLAS: The training of early stage researchers for the development of technologies to monitor concentrations of micro and nanoplastics in water for their presence, uptake and threat to animal and human life.
1/01/20 → 31/03/24
Project: EU research project
ITN AIO MonPlas (KB-37-002-029)
Peters, R. (Project Leader)
1/01/20 → 31/12/21
Project: LVVN project

Cite this

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title = "Clemeleonte/MicroplasticsQuantificationAI: MicroplasticQuantificationAI\_v1.0.0",

abstract = "The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics",

keywords = "Artificial intelligence, Bottled water, Fluorescence microscopy, Method validation, Microplastic, Nile red",

author = "Clementina Vitali",

year = "2023",

month = jan,

day = "1",

doi = "10.5281/zenodo.7809430",

language = "English",

volume = "266",

publisher = "Wageningen University \& Research",

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AU - Vitali, Clementina

PY - 2023/1/1

Y1 - 2023/1/1

N2 - The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics

AB - The scripts uploaded in this repository were developed for the automated processing of fluorescence microscopy images of Nile Red stained microplastics

KW - Artificial intelligence

KW - Bottled water

KW - Fluorescence microscopy

KW - Method validation

KW - Microplastic

KW - Nile red

U2 - 10.5281/zenodo.7809430

DO - 10.5281/zenodo.7809430

M3 - Software

VL - 266

PB - Wageningen University & Research

ER -

Clemeleonte/MicroplasticsQuantificationAI: MicroplasticQuantificationAI_v1.0.0

Abstract

Keywords

Access to Document

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Research output

Quantitative image analysis of microplastics in bottled water using artificial intelligence

Projects

MONPLAS: The training of early stage researchers for the development of technologies to monitor concentrations of micro and nanoplastics in water for their presence, uptake and threat to animal and human life.

ITN AIO MonPlas (KB-37-002-029)

Cite this