title: Quantitative Redox Imaging Software.
abstract: CONCLUSIONS
  A wealth of fluorescent reporters and imaging systems are now available to characterize dynamic physiological processes in living cells with high spatiotemporal resolution. The most reliable probes for quantitative measurements show shifts in their excitation or emission spectrum, rather than just a change in intensity, as spectral shifts are independent of optical path length, illumination intensity, probe concentration, and photobleaching, and they can be easily determined by ratiometric measurements at two wavelengths.
  
  
  BACKGROUND
  A number of ratiometric fluorescent reporters, such as reduction-oxidation-sensitive green fluorescent protein (roGFP), have been developed that respond to the glutathione redox potential and allow redox imaging in vivo. roGFP and its derivatives can be expressed in the cytoplasm or targeted to different organelles, giving fine control of measurements from sub-cellular compartments. Furthermore, roGFP can be imaged with probes for other physiological parameters, such as reactive oxygen species or mitochondrial membrane potential, to give multi-channel, multi-dimensional 4D (x,y,z,t) images.
  
  
  RESULTS
  Live cell imaging approaches are needed to capture transient or highly spatially localized physiological behavior from intact, living specimens, which are often not accessible by other biochemical or genetic means.
  
  
  CONCLUSIONS
  The next challenge is to be able to extract useful data rapidly from such large (GByte) images with due care given to the assumptions used during image processing. This article describes a suite of software programs, available for download, that provide intuitive user interfaces to conduct multi-channel ratio imaging, or alternative analysis methods such as pixel-population statistics or image segmentation and object-based ratio analysis. Antioxid. Redox Signal. 24, 752-762.
authors.affiliation: Department of Plant Sciences, University of Oxford , Oxford, United Kingdom .
authors.forename: Mark D
authors.initials: MD
authors.lastname: Fricker
mesh_terms: D015374:Biosensing Techniques / Q000379:methods; D049452:Green Fluorescent Proteins / Q000378:metabolism*; D006801:Humans; D006861:Hydrogen Peroxide / Q000032:analysis*; D015335:Molecular Probes / Q000378:metabolism*; D010084:Oxidation-Reduction; D064878:Web Browser
chemical_list: D015335:Molecular Probes; D049452:Green Fluorescent Proteins; D006861:Hydrogen Peroxide