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Main Menu - Block
- Overview
- Anatomy and Histology
- Cryo-Electron Microscopy
- Electron Microscopy
- Flow Cytometry
- Gene Targeting and Transgenics
- Immortalized Cell Line Culture
- Integrative Imaging
- Invertebrate Shared Resource
- Janelia Experimental Technology
- Mass Spectrometry
- Media Prep
- Molecular Genomics
- Primary & iPS Cell Culture
- Project Pipeline Support
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing Software
- Scientific Computing Systems
- Viral Tools
- Vivarium
Abstract
Abstract ingle molecule localisation microscopy (SMLM), experimentally achieved over a decade ago, has become a routinely used analytical tool across the life sciences. Synergistic advances in probe chemistry, optical physics and data analysis has propelled SMLM into the quantitative realm, enabling unprecedented access to the cellular machinery at the nanoscale. In its early years, SMLM primarily served as a platform for impressive rendered images of sub diffraction scale structures, however more recently a shift towards interrogating SMLM point pattern data in a robust mathematical framework has occurred. A prevalent theme in the SMLM field is the need for quantitative analytical methods, to better understand the underlying processes on which SMLM reports and to extract statistically valid biological insights. Whilst some forms of post processing analytics, for example cluster analysis, have been widely studied, others such as fibre analysis remain in their infancy. Here, we review the current state of the art of cluster analysis and fibre analysis and present new methods for their implementation in both 3D SMLM data sets and multi-colour data.
