ArticleBiophysical journal2019
Registration and Visualization of Correlative Super-Resolution Microscopy Data.
Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Super-resolution techniques for biomedical applications and challenges.Biomedical engineering letters · 2024Review
- ReCSAI: recursive compressed sensing artificial intelligence for confocal lifetime localization microscopy.BMC bioinformatics · 2022Article
- Combining multiple fluorescence imaging techniques in biology: when one microscope is not enough.Molecular biology of the cell · 2022Article
- Complementary Use of Super-Resolution Imaging Modalities to Study the Nanoscale Architecture of Inhibitory Synapses.Frontiers in synaptic neuroscience · 2022Article
- SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cells.GigaScience · 2020Article
- Ultradian Secretion of Growth Hormone in Mice: Linking Physiology With Changes in Synapse Parameters Using Super-Resolution Microscopy.Frontiers in neural circuits · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce a method for registration and visualization of correlative super-resolution microscopy images from different microscopy techniques. We established an automated registration procedure based on the generalized Hough transform. We developed a software tool to apply this algorithm and visualize correlated images from structured illumination microscopy (SIM) and direct stochastic optical reconstruction microscopy (dSTORM). To demonstrate the potential of this super-resolution correlator, we visualize the distribution of the presynaptic protein bassoon in the active zones of synapses in the molecular layer of the mouse cerebellum. First, a multiple labeled sample is imaged by SIM, followed by imaging of one of the fluorescent labels by dSTORM. To avoid the use of artificial fiducial markers, we used the signal of Alexa Fluor 647 recorded in switching buffer on the two microscopes for image superposition. We recorded multicolor SIM images in 20-μm thick brain slices to identify synapses in the dendritic system of Purkinje cells and put higher-resolved dSTORM images of the synaptic distribution of bassoon in registry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.