Development and Calibration of a Quantitative, Automated Mineralogical Assessment Method Based on SEM-EDS and Image Analysis: Application for Fine Tailings

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Journal of Minerals and Materials Characterization and Engineering

ISSN Print: 2327-4077
ISSN Online: 2327-4085
www.scirp.org/Journal/jmmce
E-mail: jmmce@scirp.org

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"Development and Calibration of a Quantitative, Automated Mineralogical Assessment Method Based on SEM-EDS and Image Analysis: Application for Fine Tailings"
written by R. Mermillod-Blondin, M. Benzaazoua, M. Kongolo, P. de Donato, B. Bussière, P. Marion,
published by Journal of Minerals and Materials Characterization and Engineering, Vol.10 No.12, 2011

has been cited by the following article(s):

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[2]	Novel technique for the preparation and analysis of powder-based polished sections by automated optical Mineralogy: Part 1 – Comparative study of representativity Minerals Engineering, 2023 DOI:10.1016/j.mineng.2023.108287

[3]	Novel technique for the preparation and analysis of powder-based polished sections by automated optical Mineralogy: Part 1 – Comparative study of representativity Minerals Engineering, 2023 DOI:10.1016/j.mineng.2023.108287

[4]	An integrated management strategy for acid mine drainage control of sulfidic tailings Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107709

[5]	Automated mineralogical characterization using optical microscopy: Review and recommendations Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107896

[6]	An integrated management strategy for acid mine drainage control of sulfidic tailings Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107709

[7]	Automated mineralogical characterization using optical microscopy: Review and recommendations Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107896

[8]	An integrated management strategy for acid mine drainage control of sulfidic tailings Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107709

[9]	Automated mineralogical characterization using optical microscopy: Review and recommendations Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107896

[10]	An integrated management strategy for acid mine drainage control of sulfidic tailings Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107709

[11]	Automated mineralogical characterization using optical microscopy: Review and recommendations Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107896

[12]	An integrated management strategy for acid mine drainage control of sulfidic tailings Minerals Engineering, 2022 DOI:10.1016/j.mineng.2022.107709

[13]	Optimization and Quality Control of Automated Quantitative Mineralogy Analysis for Acid Rock Drainage Prediction Minerals, 2017 DOI:10.3390/min7010012

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