Analyzing and quantifying single-molecule localization microscopy data [NEUBIAS Academy@Home]Webinar скачать в хорошем качестве

Analyzing and quantifying single-molecule localization microscopy data [NEUBIAS Academy@Home]Webinar

After watching the first part of this webinar, by Siân Culley, attendees should be to choose the most appropriate methods for localizing molecules in raw SMLM data and quantifying these localizations. They should also be able to properly interpret their quantifications by having knowledge of the common pitfalls encountered in SMLM. In the second part Florian Levet speaks about SR-Tesseler, an open-source and interactive software platform that allows multiscale segmention and quantification of 2D localization microscopy data. He also unveils new possibilities for 3D segmentation and analysis in SR-Tesseler. Part 1: Basic SMLM analysis --- 00:01:27 Basic overview of SMLM and analysis 00:07:00 Introduction to ThunderSTORM software 00:10:25 High and low density 00:12:11 Demo: ThunderSTORM on sparse data 00:31:03 Analysis problems with high density data 00:35:05 Demo: ThunderSTORM on high density data 00:38:52 Alternative methods for high density data 00:41:58 Artefacts in SMLM analysis 00:45:05 Demo: Quality assessment with SQUIRREL 00:47:24 Localization in the axial direction 00:48:44 Demo: ThunderSTORM on astigmatism data 00:53:23 Wrap-up of SMLM analysis and Q&A --- Part 2: Quantifying SMLM data 01:00:33 Overview of part 2 01:01:33 Introduction to rendering and quantification methods 01:05:44 Ripley’s functions for cluster analysis 01:09:52 Pair correlation cluster analysis 01:10:54 Bayesian cluster analysis 01:12:16 Machine learning-based cluster analysis 01:13:40 DBSCAN segmentation analysis 01:16:17 Tesselation-based techniques (SR-TESSELER) 01:23:03 Quantifying segmented objects 01:24:49 3D segmentation methods 01:26:07 Molecule counting and stoichiometry 01:29:17 Ratiometric quantification 01:32:20 Stoichiometric quantification with qPAINT 01:35:34 Demo: SR-TESSELER 01:42:11 Q&A Slides available at https://github.com/superresolusian/NE... https://github.com/flevet/NEUBIAS_Aca... ========== Presenters Siân Culley, Postdoc at UCL, London, UK. Florian Levet, Researcher at IINS, Bordeaux, France ========== Moderators Bram van den Broek, Netherlands Cancer Institute, Amsterdam, NL Daniel Sage, EPFL, Lausanne, Switserland Pedro Matos-Perreira, ITQB, Lison, Portugal =========== All Questions & Answers will available on the image.sc forum, where you can further ask questions in the future: https://forum.image.sc/t/neubias-acad... =========== Please fill in our satisfaction survey for this webinar: https://docs.google.com/forms/d/e/1FA...