| 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.