Your browser doesn't support javascript.
loading
Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools.
Hipp, Jason D; Johann, Donald J; Chen, Yun; Madabhushi, Anant; Monaco, James; Cheng, Jerome; Rodriguez-Canales, Jaime; Stumpe, Martin C; Riedlinger, Greg; Rosenberg, Avi Z; Hanson, Jeffrey C; Kunju, Lakshmi P; Emmert-Buck, Michael R; Balis, Ulysses J; Tangrea, Michael A.
Afiliación
  • Hipp JD; Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
  • Johann DJ; Google Inc., Mountain View, CA, USA.
  • Chen Y; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Madabhushi A; Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
  • Monaco J; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Cheng J; Department of Biomedical Engineering, Center for Computational Imaging and Personalized Diagnostics, Case Western Reserve University, Cleveland, OH, USA.
  • Rodriguez-Canales J; Inspirata Inc., Tampa, FL, USA.
  • Stumpe MC; Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Riedlinger G; Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
  • Rosenberg AZ; Medimmune, LLC, Gaithersburg, MD, USA.
  • Hanson JC; Google Inc., Mountain View, CA, USA.
  • Kunju LP; Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
  • Emmert-Buck MR; Division of Translational Pathology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
  • Balis UJ; Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
  • Tangrea MA; Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
J Pathol Inform ; 9: 45, 2018.
Article en En | MEDLINE | ID: mdl-30622835
INTRODUCTION: The development and application of new molecular diagnostic assays based on next-generation sequencing and proteomics require improved methodologies for procurement of target cells from histological sections. Laser microdissection can successfully isolate distinct cells from tissue specimens based on visual selection for many research and clinical applications. However, this can be a daunting task when a large number of cells are required for molecular analysis or when a sizeable number of specimens need to be evaluated. MATERIALS AND METHODS: To improve the efficiency of the cellular identification process, we describe a microdissection workflow that leverages recently developed and open source image analysis algorithms referred to as computer-aided laser dissection (CALD). CALD permits a computer algorithm to identify the cells of interest and drive the dissection process. RESULTS: We describe several "use cases" that demonstrate the integration of image analytic tools probabilistic pairwise Markov model, ImageJ, spatially invariant vector quantization (SIVQ), and eSeg onto the ThermoFisher Scientific ArcturusXT and Leica LMD7000 microdissection platforms. CONCLUSIONS: The CALD methodology demonstrates the integration of image analysis tools with the microdissection workflow and shows the potential impact to clinical and life science applications.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Pathol Inform Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Pathol Inform Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos