Your browser doesn't support javascript.
loading
Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometric and Structural Mechanical Parameters.
Gaines, Michelle K; Page, Imani Y; Miller, Nolan A; Greenvall, Benjamin R; Medina, Joshua J; Irschick, Duncan J; Southard, Adeline; Ribbe, Alexander E; Grason, Gregory M; Crosby, Alfred J.
Afiliação
  • Gaines MK; Department of Chemistry and Biochemistry, Spelman College, Atlanta, Georgia 30314, United States.
  • Page IY; Department of Chemistry and Biochemistry, Spelman College, Atlanta, Georgia 30314, United States.
  • Miller NA; Polymer Science and Engineering Department, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Greenvall BR; Polymer Science and Engineering Department, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Medina JJ; Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Irschick DJ; Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Southard A; Institute for Applied Life Sciences, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Ribbe AE; Department of Biology, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Grason GM; Institute for Applied Life Sciences, University of Massachusetts, Amherst, Massachusetts 01003, United States.
  • Crosby AJ; Polymer Science and Engineering Department, University of Massachusetts, Amherst, Massachusetts 01003, United States.
Acc Chem Res ; 56(11): 1330-1339, 2023 06 06.
Article em En | MEDLINE | ID: mdl-37212612
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cabelo Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: Acc Chem Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cabelo Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: Acc Chem Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos