Imaging system for morphometric assessment of absorption or fluorescence in stained cells.
An image acquisition and processing system has been developed for quantitative microscopy of absorption or fluorescence in stained cells. Three different light transducers are used in the system to exploit the best characteristics of these sensors for different biological measurements. A digital scanner, in the form of a linear array charge-coupled device (CCD), acquires data with high spatial and photometric resolution. A color (RGB) camera is employed when spectral information is required for the segmentation of cellular subcomponents. An image-intensified charged-injection device (CID) camera provides for very low light intensity measurements, primarily for fluorescence-labeled cells. Properties of these transducers, such as contrast transfer function, linearity, and photo-response nonuniformity, have been measured. Two dedicated image processing units were incorporated into the system. The front-end processor, based on a digital signal processor, provides functions such as object detection, raw image calibration, compression, artifact removal, and filtering. The second image processor is associated with the frame memory and includes a histogram processor, a dedicated arithmetic logic unit for image processing functions, and a graphics module for one-bit overlay functions. An interactive program was developed to acquire cell images and to experiment with a range of segmentation algorithms, feature extractions, and other image processing functions. The results of any image operation are displayed on the video monitor. Once a desired processing sequence is determined, the sequence may be stored to become part of a command library and can be executed thereafter as a single instruction.
Jaggi
B
B
Cancer Imaging, B.C. Cancer Research Centre, Vancouver, British Columbia, Canada.
Poon
S S
SS
MacAulay
C
C
Palcic
B
B
D000465:Algorithms; D002469:Cell Separation / Q000295:instrumentation / Q000379:methods; D005453:Fluorescence; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D012984:Software / Q000379:methods