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This online course is run by the Researcher Academy in conjunction with the University of Nottingham Flow Cytometry Facility
Target Audience: Postgraduate research students and Research-only staff (ECRs).
Pre-requisites:
Introduction to Flow Cytometry short course or prior hands on experience using a Flow Cytometry experimental set up.
The Kaluza software used during this online course needs a Windows operating system and cannot be downloaded to MacOS. If you do not have a Windows operating system you may still join the webinar, but you should note this in your booking comments. This will mean that you will join the course as an observer and not be able to download the software or participate in the live hands on practical, but you can still ask questions.
Pre-session tasks:
1) Complete short survey (sent to all registrations 1 week prior to course date)
2) Download of Kaluza software (prior to joining the webinar if using Windows)
Course Description:
This interactive group session will give an introduction to flow cytometric data analysis and will provide an introductory guide to the use of the analytical software Kaluza. Attendees should ideally have performed some flow cytometry already or be familiar with the use of flow cytometry for example through attendance of the ‘Introduction to Flow Cytometry Course’.
The session requires access to a working copy of the analytical software Kaluza – install and access details can be found here: Kaluza Data Analysis Software. During the session attendees will work through and analyse example data, which will be provided, and students own data can be discussed. There will also be a discussion of the appropriate statistical tools and considerations for presenting flow cytometry data.
Learning Outcomes.
- Ability to open Flow Cytometry Standard (FCS) files in Kaluza and produce appropriate data plots including dot plots, histograms and overlays.
- Understanding of the 3 principle ways Kaluza can be used to analyse and present data; protocol duplication mode, composite mode and data batches.
- Appreciation of fundamental principles of data analysis required for peer review publications including, consistency of approach, data quality and ability to describe objective and subjective outputs.
- Understanding of key statistics that can be extracted and how they may be used to represent data for publication.
Process:
Interactive, live session delivered via Microsoft Teams with pre-session resources available on Moodle.
Online video tutorials with downloadable software, data and worksheets, supported with interactive video discussion via MS Teams. The session has a short pre-task which must be started before the webinar and involves downloading the Kaluza software to your Windows based laptop/PC.
Course Accessibility
The following table shows a summary of what is needed to participate in the course.
If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@nottingham.ac.uk.
| Access Moodle |  |
| Access MS Teams | |
| Access and/or complete self-study/ pre-course tasks prior to main session(s) | |
| Attend the live session at the specified date and time | |
| Use MS Teams chat box function during the live session | |
| Engage with online materials | |
| Watch and listen to the course tutor(s) and/or other attendees during the live session | |
| Follow presentation slides during the course during the live session | |
| Take part in group activities/ discussions | |
Booking Conditions
Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate.
Please note, attendances for webinars/ online courses will be recorded. There are no training points associated with courses run by the Researcher Academy
Details
| Delegate Price | £0.00 |
| TSA Member Price | £0.00 |