| 00:00:00 | Untitled |
| 00:00:58 | Masterclass 5: Troubleshooting: What to do when it looks like things have gone wrong! |
| 00:01:07 | The laser diffraction masterclass |
| 00:01:36 | Common questions about laser diffraction |
| 00:03:08 | What is the biggest source of error? |
| 00:05:51 | What affects measurement reproducibility? |
| 00:07:52 | What affects measurement repeatability? |
| 00:08:50 | Problems with sample stability: dissolution |
| 00:10:02 | Problems with sample stability: agglomeration |
| 00:11:38 | Recognising problems with alignment |
| 00:11:38 | How to tell that the system is clean |
| 00:12:19 | What does a good background look like? |
| 00:12:19 | What do problem backgrounds look like? |
| 00:12:49 | What do problem backgrounds look like? |
| 00:12:49 | What do problem backgrounds look like? |
| 00:12:49 | After the background measurement |
| 00:12:49 | After the background measurement |
| 00:12:49 | After the background measurement |
| 00:13:43 | How much sample should I add? |
| 00:14:56 | Untitled |
| 00:16:28 | How much sample to add: multiple scattering |
| 00:17:08 | Target obscuration ranges: Wet measurements |
| 00:17:41 | Target obscuration ranges: Dry measurements |
| 00:19:03 | Why do I see unexpected modes in my results? |
| 00:21:04 | Unexpected large particles: Beam steering |
| 00:21:46 | Unexpected large particles: Beam steering |
| 00:21:51 | Why do I see unexpected modes in my result? |
| 00:23:01 | What causes high residuals? |
| 00:24:26 | How do I analyse mixed materials? |
| 00:26:15 | Analysing mixed materials |
| 00:26:31 | Problems with interpreting results |
| 00:27:39 | Massive D10 change, nigh identical result |
| 00:28:42 | Hydro Sight has been developed to help users optimise and troubleshoot their methods |
| 00:29:07 | Hydro Sight collects images of liquid sample dispersions in-line with the Mastersizer 3000 |
| 00:29:46 | Hydro Sight aids method development by providing sample images which show the state of dispersion |
| 00:30:01 | Its software interprets sample images and reports a series of parameters to aid dispersion monitoring |
| 00:31:35 | The software can also be configured to automatically detect sample anomalies |
| 00:31:55 | Overview |
| 00:32:42 | Questions? |
| 00:34:27 | Contact Information |
However good the methods we develop are, there is still the potential for something to go wrong!
In this webinar find out what you can do if you are presented with results that are not what you expect.
We will show you how to review measurement data to determine if the measurements have been carried out correctly, and to recognize common errors.