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Modelling TIRF Microscopy Data of Dynamic Microtubules at Super-ResolutionSummer Project ResultsNils Gustafsson

Supervised By: Dr Lewis GriffinDr Thomas Surrey

SummaryMicrotubulesMicrotubules and the CytoskeletonAnalysis of Microtubule GrowthModelling of Vitro Microtubule ExperimentsGaussian Rendering ApproachValidation of In Vitro ExperimentsAccuracy and Precision of End TrackingLabelling RatioLabelling Ratio With NoiseExperimental ConditionsConclusions

2/142Microtubules and the Cytoskeleton3/14Multiple Cellular FunctionsMechanical StabilityScaffold StructuresForce GenerationCargo TransportCell MigrationCell DifferentiationCell Division

Drug TargetsVinca AlkaloidsTaxanesFig. (top right) The Dixit Lab research webpage, Washington UniversityFig. (bottom right) taken from Torsten Wittmann homepage, UCSF

Microtubules (green) DNA (blue)EB1 (yellow)

3Analysis of Microtubule Growth

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Modelling microscope data5/14Projection Onto a 2D Plane6/14

Rendering Into an Image7/14

Accuracy and precision of tracking algorithm8/14Labelling Ratio9/14

Response of the accuracy to labelling ratio is non-linearLabelling ratio in a 1D Toy Model10/14

Error in the mean of a cumulative Gaussian fit to a 1D toy model of an imaged microtubule shows that the response of the accuracy to labelling ratio is non-linearLabelling Ratio and SNR11/14

Precision is clustered into three groups proportional to SNR valueExperimental Conditions12/14

Precision is clustered into two groups proportional to SNR value

Best Case

Axial accuracy