ISOLATION, DETECTION AND ESTIMATION OF MICROSCOPIC WORMS BY | USING INSTRUMENTS AND SOFTWARES IN AGRICULTURE AND VETERINARY RESEARCH STATIONS

Velu Anandaraj (u. a.)

ISBN 10: 6203308420 / ISBN 13: 9786203308426

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

ISOLATION, DETECTION AND ESTIMATION OF MICROSCOPIC WORMS BY | USING INSTRUMENTS AND SOFTWARES IN AGRICULTURE AND VETERINARY RESEARCH STATIONS | Velu Anandaraj (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203308426 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 119720137

Bibliographic Details

• Title: ISOLATION, DETECTION AND ESTIMATION OF MICROSCOPIC WORMS BY | USING INSTRUMENTS AND SOFTWARES IN AGRICULTURE AND VETERINARY RESEARCH STATIONS
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6203308420
• ISBN 13: 9786203308426
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In our work I have developed an measuring and counting procedure using image processing and picture analyses that is easy to use and requires very few calibrations. It takes about two minutes to obtain five pictures of Nematodes and to manually sort these pictures in a normal directory tree on the computer. It then takes about two minutes for the program to analyze these images, count and measure all the individuals in these populations and save the data in distinct files (20 to 30 sec per set of 5 pictures on a 2.5 GHz computer). Altogether about five minutes are needed to take a count of one hundred laboratory populations, whose densities can reach a hundred individuals. One of the major improvements would be to use color pictures instead of black and white ones. This method is efficient at removing most of the motionless background and to correct for spatially heterogeneous lighting conditions.