Such shrinkage leads to a time dependent curl of the membrane, probed by image analysis and tensile test measurements.
For each antibody, the total number of positively stained cells will be counted to a depth of 100 μm below the epithelial basement membrane using a computerized image analysis.
Putative individual cell regions and outer boundaries ("membranes") were estimated by image analysis to allow the study and visualization of cell intercalations (see Materials and Methods).
Each spot of the array membrane was quantified by the image analysis software UN-Scan-It (Silk Scientific, Orem, UT, USA) in triplicate with background correction and the mean value was used.
Expression of nuclear proliferating cell nuclear antigen (PCNA), MIB-1 (a marker of cell proliferation), and p53 was determined with digital image analysis, and cell membrane HER-2/neu and bcl-2 were quantitated visually.
Quantification of β-catenin at the plasma membrane was carried out using CellProfiler image analysis software, by identifying and spatially binning the cytoplasm into concentric regions, then measuring the β-catenin distribution from the outermost bin.
After rinsing, membranes were analyzed by computer-assisted image analysis LI-COR Biosciencess), with comparisons made between samples on the same gel/immunoblot.
Membrane-adherent particles were tracked with image analysis software, and 2D diffusion maps were generated as shown in Figure 2 E and F. Analysis of single-particle tracks revealed that ∼80% of the monomers (n = 748) and dimers (n = 762) were diffusing on the membrane, while the other particles remained stationary.
Membrane biofouling in membrane bioreactor (MBR) was analyzed quantitatively using a quantitative image analysis technique combined with confocal laser scanning microscopy (CLSM).
Interpretation of membrane staining can be optimized using quantitative image analysis such as the automated quantitative analysis (AQUA) system [ 33].
