Image Analysis Training in Tulsa

This instructor-led, live training (online or onsite) is designed for government researchers and laboratory professionals at beginner to intermediate levels who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples. By the end of this training, participants will be able to: - Navigate the Fiji interface and utilize ImageJ’s core functions effectively. - Preprocess and enhance scientific images for improved analysis. - Conduct quantitative image analysis, including cell counting and area measurement. - Automate repetitive tasks using macros and plugins. - Customize workflows to meet specific image analysis needs in biological research for government applications.

Fiji is an open-source image processing package that bundles ImageJ, a program designed for scientific multidimensional images, along with numerous plugins for advanced image analysis.

In this instructor-led, live training, participants will learn how to utilize the Fiji distribution and its underlying ImageJ program to develop an image analysis application tailored for government use.

By the end of this training, participants will be able to:

• Leverage Fiji's advanced programming features and software components to extend the functionality of ImageJ
• Stitch large 3D images from overlapping tiles efficiently
• Automatically update a Fiji installation on startup using the integrated update system for government applications
• Select from a wide range of scripting languages to build customized image analysis solutions
• Utilize powerful libraries, such as ImgLib, for processing large bioimage datasets in government projects
• Deploy their application and collaborate with other scientists on similar initiatives within the public sector

Format of the Course

• Interactive lecture and discussion
• Extensive exercises and practical activities
• Hands-on implementation in a live-lab environment

Course Customization Options

• To request a customized training for government agencies, please contact us to arrange.

Pattern Matching is a technique utilized to identify specified patterns within an image. It can be employed to determine the presence of specific characteristics within a captured image, such as the expected label on a defective product in a factory line or the precise dimensions of a component. This differs from "Pattern Recognition," which identifies general patterns based on larger collections of related samples, as Pattern Matching specifically defines what is being sought and confirms whether the expected pattern exists or not.

Format of the Course

• This course introduces the approaches, technologies, and algorithms used in the field of pattern matching as it applies to Machine Vision for government applications.