Abstract
To estimate the size distribution of the alveoli of the lung, an automated method has been developed by using a digital imaging technique, which acquires, processes, converts, and edits lung histologic images from the microscope. The binary images are analyzed by measuring the spacing between alveolar walls along a grid of parallel lines. The resultant intercept data are fit with a bimodal distribution consisting of two lognormal distributions. We were thus able to distinguish the smaller distribution that is comprised primarily of alveolar intercepts. The effect of the binary image-editing features, and the goodness-of-fit of the distribution curve are discussed. The analysis provides a dimensional improvement compared to the information that is normally obtained from lung histologic sections.
Original language | English (US) |
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Pages (from-to) | 397-409 |
Number of pages | 13 |
Journal | Journal of Computer-Assisted Microscopy |
Volume | 1 |
Issue number | 4 |
State | Published - Dec 1 1989 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials