Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • DKFZ Publication Database  (2)
  • CELL  (2)
  • PROTEIN  (2)
  • PROTEINS  (2)
  • review  (2)
  • human
  • GENES
  • ELSEVIER ACADEMIC PRESS INC  (2)
  • 1
    facet.materialart.
    Unknown
    ELSEVIER ACADEMIC PRESS INC
    Keywords: BIOLOGY ; BINDING ; MOBILITY ; SPECTROSCOPY ; DOMAINS ; sensitivity ; MOTION ; LIVING CELLS ; FLUORESCENCE ; PROTEIN-PROTEIN INTERACTIONS ; Jun ; DNA ; PROTEINS ; PROTEIN ; PATHWAY ; CELLS ; CELL ; Germany ; interactions ; CELL BIOLOGY ; FCS ; interaction ; CROSS-CORRELATION SPECTROSCOPY ; CORRELATION SPECTROSCOPY ; fluorescence correlation spectroscopy ; DIFFUSION ; molecular ; review ; RE ; correlation ; USA ; technique ; FOS ; methods
    Abstract: Fluorescence correlation spectroscopy (FCS) is an emerging technique where the interaction between biomolecules is detected through their correlated motion. It offers the advantage of high (single-molecule) sensitivity; independence of molecular orientation or distance; and simultaneous measurement of molecular interactions, concentrations, and mobilities. Here we introduce the principle of the technique and review some recent examples from the literature where FCS has been used with autofluorescent proteins for measuring protein-protein interactions and mobilities in living cells
    Type of Publication: Book chapter
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: BEHAVIOR ; PHENOTYPE ; BIOLOGY ; IDENTIFICATION ; NUCLEI ; RECOGNITION ; culture ; PHENOTYPES ; PATTERNS ; IMAGES ; CLASSIFICATION ; CELLS ; CELL ; Germany ; evaluation ; human ; ACCURACY ; PROTEIN ; PROTEINS ; GENE ; TOOL ; GENOME-WIDE ; MICROSCOPE IMAGES ; SUBCELLULAR STRUCTURES ; TEXTURE ; Cell nuclei ; CELL BIOLOGY ; RE ; review ; HIGH-THROUGHPUT ; SCREEN ; analysis ; methods ; CELL-NUCLEI ; USA ; HUMAN-CELLS ; TOOLS
    Abstract: High-throughput screens of the gene function provide rapidly increasing amounts of data. In particular, the analysis of image data acquired in genome-wide cell phenotype screens constitutes a substantial bottleneck in the evaluation process and motivates the development of automated image analysis tools for large-scale experiments. In this chapter, we present a computational scheme to process multicell time-lapse images as they are produced in high-throughput screens. We describe an approach to automatically segment and classify cell nuclei into different mitotic phenotypes. This enables automated identification of cell cultures that show an abnormal mitotic behavior. Our scheme proves high classification accuracy, suggesting a promising future for automating the evaluation of high-throughput experiments
    Type of Publication: Book chapter
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...