Evaluation of classification methods for identifying multiwalled carbon nanotubes collected on mixed cellulose ester filter media.

Smith, Devin; Neu-Baker, Nicole M; Eastlake, Adrienne C; Zurbenko, Igor G; Brenner, Sara A

Smith, Devin; Neu-Baker, Nicole M; Eastlake, Adrienne C; Zurbenko, Igor G; Brenner, Sara A.

Afiliação

Smith D; Department of Epidemiology & Biostatistics, School of Public Health, State University of New York (SUNY) at Albany, Rensselaer, New York.
Neu-Baker NM; Present address: Department of Mathematics, School of Science, Rensselaer Polytechnic Institute (RPI), 110 8th Street, Troy, NY, 12180, USA.
Eastlake AC; College of Nanoscale Science & Engineering, State University of New York (SUNY) Polytechnic Institute, Albany, New York.
Zurbenko IG; National Institute for Occupational Safety and Health (NIOSH), Cincinnati, Ohio, USA.
Brenner SA; Department of Epidemiology & Biostatistics, School of Public Health, State University of New York (SUNY) at Albany, Rensselaer, New York.

J Microsc ; 283(2): 102-116, 2021 08.

Article em En | MEDLINE | ID: mdl-33825198

Assuntos

Celulose/química; Nanotubos de Carbono; Ésteres; Microscopia; Máquina de Vetores de Suporte

Palavras-chave

hyperspectral imaging; microscopy; occupational exposure assessment; predictive modelling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Celulose / Nanotubos de Carbono Tipo de estudo: Prognostic_studies Idioma: En Revista: J Microsc Ano de publicação: 2021 Tipo de documento: Article

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