Imaging Masterclass 1: Understanding the application of automated analytical imaging for particle size and particle shape analysis

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00:00:00 Imaging masterclass 1Basic principles of particle characterization by automated image analysis
00:01:02 Overview
00:02:06 What is automated particle imaging?
00:02:12 Evolution of particle characterization
00:03:02 What is automated particle imaging?
00:03:31 What is automated particle imaging?
00:03:55 What is automated particle imaging?
00:04:49 What is automated particle imaging?
00:05:20 Why is particle imaging important?
00:05:30 Why is particle imaging important?
00:06:29 Why is particle imaging important?
00:07:24 Why is particle imaging important?
00:08:44 Basics principles of automated particle imaging
00:08:50 Basics principles of automated particle imaging
00:09:24 Basics principles of automated particle imaging
00:10:20 Sample preparation
00:11:48 Basics principles of automated particle imaging
00:12:18 Basics principles of automated particle imaging
00:12:24 Sample presentation
00:12:59 Static analysis
00:14:29 Sample presentation
00:15:14 Image capture and analysis
00:15:25 Image capture and analysis
00:16:54 Morphological shape descriptors
00:17:49 Morphological shape descriptors: elongation
00:18:24 Morphological shape descriptors: elongation
00:19:38 Morphological shape descriptors: convexity
00:21:00 Morphological shape descriptors: convexity
00:21:47 Morphological shape descriptors: circularity
00:22:08 Morphological shape descriptors: circularity
00:22:55 The third dimension - gives extra information
00:23:44 The third dimension
00:24:42 Data analysis
00:24:47 Number – volume relationship
00:25:20 Number distribution
00:26:32 Volume distribution
00:27:02 Number – volume conversion
00:27:34 Number based distribution : monitoring fines in recycling abrasive material
00:28:36 Minimum number of pixels
00:29:50 Scattergram - relate two parameters
00:31:14 Scattergram - relate two parameters
00:31:56 Scattergram - relate two parameters
00:32:26 Scattergram - relate two parameters
00:33:50 Scattergram - relate two parameters
00:33:58 Statistical analysis tool to compare large data sets
00:36:33 Summary: masterclass 1: basic principles of imaging
In this webinar, the first in a series of Masterclass presentations, we introduce the basic concepts of image analysis. We will discuss the parameters that can be measured and how we can relate this information to real world problems. The shape of a particle may affect a number of properties such as particle flow, packing density or reaction rates in a process or product. Therefore to fully understand your particles, and in turn your products, characterizing the particle shape may be beneficial.