Quantitative microscopy reveals 3D organization and kinetics of endocytosis in rat hepatocytes.

In order to demonstrate the power of quantitative microscopy, the endocytic apparatus of rat hepatocytes was reexamined using in situ liver and short term cultured hepatocyte couplets that were allowed to internalize endocytic markers for various time intervals. Correlative confocal light and electron microscopy demonstrate a tubulovesicular reticulum representing the endocytic apparatus. Volume and membrane area account for 2% of cell volume and 30% plasma membrane surface. Colocalization analysis demonstrated that pathway-specific ligands and fluid-phase markers enter EEA1-positive vesicles, the early endosomal compartment, immediately after internalization. These vesicles are translocated rapidly from basolateral to perinuclear and apical locations. Ligands are sorted within 5 min to their respective pathways. Sequential colocalization of an asialoglycoprotein-pulse with rab7 and lamp3 demonstrates that early endosomes change into or fuse with late endosomes and lysosomes. Alternatively, markers are sequestered into the common endosome consisting of rab11-positive, long tubules that originate from early endosomes and show an affinity for the transcytotic marker pIgA and its receptor. This compartment mediates transcytosis by delivering the receptor-ligand complex to the subapical compartment, a set of apical, rab11-positive vesicles, which are connected to the tubular reticulum. We conclude that vesicular traffic between preexisting compartments, maturation or fusion of endocytic organelles, and transport in tubules act in concert and together mediate transport between compartments of a tubulovesicular endocytic apparatus. In addition, we show that quantitative microscopy using high resolution data sets can detect and characterize kinetics of various parameters thus adding a dynamic component to 3D information.

Colocalization analysis yields superior results after image restoration.

Colocalization analysis is a powerful tool for the demonstration of spatial and temporal overlap in the distribution patterns of fluorescent probes. In unprocessed images, background affects image quality by impairing resolution and obscuring image detail in the low-intensity range. Because confocal images suffer from background levels up to 30% maximum intensity, colocalization analysis, which is a typical segmentation process, is limited to high-intensity signal. In addition, noise-induced, false-positive events ("dust") may skew the results. Therefore, suppression of background is crucial for this type of image analysis. Analysis of synthetic and biological objects demonstrates that median filtering is able to eliminate noise-induced colocalization events successfully. Its disadvantages include the occasional generation of false-positive and false-negative results as well as the inherent impairment of resolution. In contrast, image restoration by deconvolution suppresses background to very low levels (<10% maximum intensity), which makes additional objects in the low-intensity but high-frequency range available for analysis. The improved resolution makes this technique extremely suitable for examination of objects of near resolution size as demonstrated by correlation coefficients. Deconvolution is, however, sensitive to overestimation of the background level. Conclusions for practical application are: (1) In raw images, colocalization analysis is limited to the intensity range above the background level. This means the higher the RS/N the better. Unfortunately, images of most biological specimens have a low RS/N. (2) Filtering improves the result substantially. The reduction of background levels and the concomitant increase of the RS/N are generated at the expense of resolution. This is a quick and simple method in cases where resolution is not a major concern. (3) If colocalization in the low-intensity range and/or maximum resolution play a role, deconvolution should be used.