ReviewNature protocols2024
Build and operation of a custom 3D, multicolor, single-molecule localization microscope.
Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Functional super-resolution microscopy of fibers and polymers: convergence of artificial and biological systems at the nanoscale.Nanoscale horizons · 2026Review
- Robust Development of Gold Nanorod-Quantum Dot Assemblies for Dynamic Dual-Modal Single Nanoparticle Imaging and Tracking Applications.ACS applied nano materials · 2025Article
- Revealing plasma membrane protein dynamics in living plant cells with single-molecule tracking.Journal of experimental botany · 2025Article
- One-click reconstruction in single-molecule localization microscopy via experimental parameter-aware deep learning.Npj imaging · 2025Article
- Multi-step implementation of meiotic crossover patterning.bioRxiv : the preprint server for biology · 2025Article
- Bloom helicase contributes to successful crossover formation with both catalytic and structural roles in Caenorhabditis elegans meiosis.Nucleic acids research · 2025Article
- Image-based 3D active sample stabilization on the nanometer scale for optical microscopy.Biophysical reports · 2025Article
- Resolution in super-resolution microscopy - facts, artifacts, technological advancements and biological applications.Journal of cell science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Single-molecule localization microscopy (SMLM) enables imaging scientists to visualize biological structures with unprecedented resolution. Particularly powerful implementations of SMLM are capable of three-dimensional, multicolor and high-throughput imaging and can yield key biological insights. However, widespread access to these technologies is limited, primarily by the cost of commercial options and complexity of de novo development of custom systems. Here we provide a comprehensive guide for interested researchers who wish to establish a high-end, custom-built SMLM setup in their laboratories. We detail the initial configuration and subsequent assembly of the SMLM, including the instructions for the alignment of all the optical pathways, the software and hardware integration, and the operation of the instrument. We describe the validation steps, including the preparation and imaging of test and biological samples with structures of well-defined geometries, and assist the user in troubleshooting and benchmarking the system's performance. Additionally, we provide a walkthrough of the reconstruction of a super-resolved dataset from acquired raw images using the Super-resolution Microscopy Analysis Platform. Depending on the instrument configuration, the cost of the components is in the range US$95,000-180,000, similar to other open-source advanced SMLMs, and substantially lower than the cost of a commercial instrument. A builder with some experience of optical systems is expected to require 4-8 months from the start of the system construction to attain high-quality three-dimensional and multicolor biological images.
Indexed as
Identifiers
38702387What OpenQuestion holds
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.