Machine vision microscopy as an on-line sensor for bioprocesses
type: CreativeWork
description: A machine vision microscopy system (combination of video hardware and software and microscope for automated identification) was developed for classifying and counting microscopic objects in a Bacillus thuringiensis (Bt) fermentation. Image morphology properties consisting of area, perimeter, major length, minor length, number of holes, area of holes, and perimeter of holes were collected for vegetative cells, spores and protein crystals, and cells with included spores and crystals. Spatial resolution was 0.1333 $\mu$m/pixel in the horizontal direction and 0.1667 $\mu$m/pixel in the vertical direction.
abstract: A machine vision microscopy system (combination of video hardware and software and microscope for automated identification) was developed for classifying and counting microscopic objects in a Bacillus thuringiensis (Bt) fermentation. Image morphology properties consisting of area, perimeter, major length, minor length, number of holes, area of holes, and perimeter of holes were collected for vegetative cells, spores and protein crystals, and cells with included spores and crystals. Spatial resolution was 0.1333 $\mu$m/pixel in the horizontal direction and 0.1667 $\mu$m/pixel in the vertical direction.
author: Richburg, Brent Allen
language: eng
keywords: Biology, Microbiology, Engineering, Agricultural
date published: 1992
date modified: 2026-07-22T22:25:15Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/19989