Home Microscopy & Imaging Test Samples for Optimizing STORM Super-Resolution Microscopy
Microscopy & Imaging JoVE (Open Access) Citable · DOI

Test Samples for Optimizing STORM Super-Resolution Microscopy

DOI: 10.3791/50579-v
What you'll learn
  • Prepare three standardized test samples for STORM microscopy optimization
  • Acquire and process raw super-resolution imaging data using rainSTORM software
  • Apply drift correction and fiducial marker tracking to achieve 30-50 nm resolution
  • Assess STORM microscope performance using fluorescent reference standards
Protocol

We describe the preparation of three test samples and how they can be used to optimize and assess the performance of STORM microscopes. Using these examples we show how to acquire raw data and then process it to acquire super-resolution images in cells of approximately 30-50 nm resolution.

Difficulty
advanced
Total time
~4-6 hours per complete sample set (preparation + acquisition + reconstruction)
Biosafety
BSL-1

Steps

1
Coat glass coverslips with fluorescent dextran

Prepare a simple test sample by coating glass with fluorescent dextran to create a uniform reference surface. This baseline sample is used to assess basic microscope performance and optical properties.

▶ 01:25
2
Immobilize and stain actin filaments on glass

Prepare actin filament networks on glass coverslips as a structured test sample. This sample provides known filament geometry to validate resolution and assess image reconstruction accuracy.

▶ 02:46
3
Mount fluorescent microsphere beads as fiducial markers

Prepare microsphere reference beads that serve as fiducial markers for tracking microscope drift during acquisition. These beads enable spatial calibration and drift correction in subsequent processing steps.

▶ 03:27
4
Stain epidermal growth factor in fixed cells

Label EGF receptors in fixed cells as a biological test sample. This demonstrates STORM performance on actual cellular structures and validates the protocol on relevant biological targets.

▶ 03:54
5
Acquire STORM raw data with Alexa 647 dye

Perform microscopy data acquisition on prepared samples using Alexa 647 photoactivatable dye. Collect raw single-molecule localization sequences under optimized illumination and detection conditions.

▶ 04:56
6
Reconstruct super-resolution images using rainSTORM

Process raw STORM acquisition data through rainSTORM software to localize individual molecules and generate super-resolution images. Apply reconstruction algorithms to achieve final 30-50 nm resolution.

▶ 06:28
7
Apply drift correction via fiducial marker tracking

Use fiducial microsphere bead positions tracked throughout acquisition to correct for microscope stage drift. Implement box-tracking and drift correction algorithms within rainSTORM to refine image accuracy.

▶ 08:39
8
Evaluate STORM performance with test sample results

Analyze reconstructed images from all three test samples to assess microscope resolution, accuracy, and consistency. Compare measured versus expected features to validate system optimization and performance.

▶ 09:18
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