Machine vision microscopy as an on-line sensor for bioprocesses

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 μm/pixel in the horizontal direction and 0.1667 μm/pixel in the vertical direction.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural and Biological Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

1992

Author dc:creator

• Richburg, Brent Allen

Contributors dc:contributor

• Reid, John F.

• Biology, Microbiology
• Engineering, Agricultural

Statement dc:rights

• Copyright 1992 Richburg, Brent Allen

Language dc:language

eng

Identifier

AAI9236578
(UMI)AAI9236578

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19989