Tuesday-Wednesday July 30-31, 2019<\/p>\n
Register here:\u00a0 https:\/\/unc2019.eventbrite.com<\/a><\/p>\n $500 for two days.<\/p>\n UNC Flow Core users, please email the core for a discount code to save $200.<\/p>\n Registration extended to 7\/20\/19.<\/p>\n This training is aimed at investigators who wish to improve their understanding of Flow Cytometry. The Introductory Flow Cytometry Training<\/a> is a pre-requisite for UNC investigators.<\/p>\n Day 1<\/strong><\/p>\n Principles and best practices for compensation<\/em> -Starting with the three rules of compensation, this lecture will delve into the process of compensation, and provide an understanding of the underlying assumptions of the three rules.<\/p>\n Essential controls in cytometry<\/em> \u2013 With the reproducibility crisis in science at the fore of peoples minds, it is critical that your flow cytometry experiments contain the necessary controls for proper data interpretation.\u00a0 Lacking these controls, or overinterpreting a control can prove disastrous to your data.<\/p>\n Practical 1<\/strong>:\u00a0 Compensation practice <\/em>\u2013 using a 5-color dataset with both beads and cells to practice automated compensation and while testing the assumptions of the three rules of compensation.<\/p>\n Data analysis<\/em> \u2013 Data analysis starts during the experimental design process, and ends with statistical analysis.\u00a0 Learn what Capablanca meant by \u201cIn order to improve your game, you must study the endgame before everything else<\/em>.\u201d<\/p>\n Designing experimental workflows<\/em> \u2013 A flow cytometry experiment is more than adding some cells and antibodies together, especially if the experiment will be part of a larger study.\u00a0 This process includes the design, optimization, validation, execution, analysis and reporting of the final results. This lecture will focus on these steps and how each builds on the previous.<\/p>\n Practical 2<\/strong>:\u00a0 Data analysis <\/em>\u2013 Using a high-dimensional dataset, learn how to establish an analysis workflow, along with some tips and tricks to make secondary analysis easier. Day 2<\/strong><\/p>\n Panel Optimization<\/em> \u2013 This lecture will focus on a deep dive on steps to help improve the quality of your flow cytometry panel.\u00a0 This will cover topics including choosing the right machine, implementing experimental controls and the theory of validation.<\/p>\n Principles of Panel Design<\/em> \u2013 The panel is central to the flow cytometry experiment.\u00a0 Building on the concepts already presented, this lecture will provide a theoretical guide to designing a flow cytometry panel using the information about the instrument, fluorochromes and the cells.<\/p>\n Practical 3<\/strong>:\u00a0 Panel Design Exercise<\/em> \u2013 Using the theory described in the course, we will design a polychromatic panel designed to answer a pressing biological question.\u00a0 With the information provided groups will design and present their best panels.<\/p>\n Addressing reproducibility<\/em> \u2013 Glen Begley described the fact that only 11% of 53 landmark oncology studies were reproducible.\u00a0 With the time, money and effort poured forth in biomedical research, it is critical that we do better.\u00a0 This lecture will use \u201cBegley\u2019s rules\u201d to review the mindset for improving reproducibility.<\/p>\n Statistical Analysis<\/em> \u2013 When all is said and done, flow cytometry data can be used to support or refute an experimental hypothesis.\u00a0 This lecture will discuss some theory and considerations that should be considered for proper statistical analysis.<\/p>\n Rare event detection<\/em> \u2013 With the ability to measure millions of events in short order, flow cytometry is an ideal tool for looking for the cellular needle in the body\u2019s haystack.\u00a0 This lecture will cover three areas that are critical to monitor to be successful in rare event analysis.<\/p>\n Principles of cell sorting<\/em> \u2013 Isolation of cells for downstream applications, especially genomic analysis, is an extremely valuable tool for researchers.\u00a0 Even if you are not running a cell sorter, this lecture will provide practical tips for designing your next sorting experiment.<\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Two Day intensive advanced Flow Cytometry Training by Expert Cytometry Tuesday-Wednesday July 30-31, 2019 Register here:\u00a0 https:\/\/unc2019.eventbrite.com $500 for two days. UNC Flow Core users, please email the core for a discount code to save $200. Registration extended to 7\/20\/19. This training is aimed at investigators who wish to improve their understanding of Flow Cytometry. … Read more<\/a><\/p>\n","protected":false},"author":20161,"featured_media":0,"template":"","meta":{"_acf_changed":false,"layout":"","cellInformation":"","apiCallInformation":"","_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":"","_links_to":"","_links_to_target":""},"tags":[],"tribe_events_cat":[],"class_list":["post-2916","tribe_events","type-tribe_events","status-publish","hentry","odd"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/tribe_events\/2916","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/users\/20161"}],"version-history":[{"count":0,"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/tribe_events\/2916\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/media?parent=2916"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/tags?post=2916"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/www.med.unc.edu\/flowcytometry\/wp-json\/wp\/v2\/tribe_events_cat?post=2916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/h4>\n
Syllabus:<\/strong><\/h4>\n
\nTroubleshooting<\/em> \u2013 Murphy\u2019s law is bound to strike when you least expect it.\u00a0 This lecture will cover some important concepts in identifying and solving some of the most common flow cytometry errors.<\/p>\n