Scanning image analysis

Physical testing appHcations and methods for fibrous materials are reviewed in the Hterature (101—103) and are generally appHcable to polyester fibers. Microscopic analyses by optical or scanning electron microscopy are useful for evaluating fiber parameters including size, shape, uniformity, and surface characteristics. Computerized image analysis is often used to quantify and evaluate these parameters for quaUty control. 

Scanning microscopy investigation and quantitative image analysis... 

J. Bloem, M. Veningra, and J. Shepherd, Fully automatic determination of soil bacterium numbers, cell volumes, and frequencies of dividing cells by confocal laser-scanning microscopy and image-analysis, Appl. Environ. Microbiol. 61 926... 

Many laboratories are equipped with commercial video frame grabbers and video image analysis systems, the operation of which is nicely explained by Russ (5). Many of the concepts involved apply both to video analysis and to the analysis of matrices obtained with a mechanical scanning stage driven by a stepper motor. Video scanning is very rapid, but slow mechanical scanning can be very precise and accurate. 

The steps involved in the image acquisition process for cDNA microarrays have been reviewed and a number of image analysis programs are available to mediate this process. The process can be described in four basic steps (1) scanning, (2) spot recognition, (3) segmentation (4) intensity measurement, and (5) ratio calculation (Leung and Cavalieri, 2003). 

Image analysis has been used to characterize the pore structure of synthetic membrane materials. The Celgard films have also been characterized by scanning tunneling microscopy, atomic force microscopy, and field emission scanning electron microscopy. The pore size of the Celgard membranes can also be calculated from eq 5, once the MacMullin number and gurley values are known. 

Martens and Thybo (2000) used digital image analysis of scanning electron microscope images of potato tissue and of starch to successfully relate microstmcture characteristics to textural properties. 

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