ArticleJournal of cell science2021
Python-Microscope - a new open-source Python library for the control of microscopes.
Article in Journal of cell science, 2021. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- ClearScope: A Fully Integrated Light-Sheet Theta Microscope for Sub-Micron-Resolution Imaging Without Lateral Size Constraints.Journal of imaging · 2026Article
- A flexible framework for automated STED super-resolution microscopy.Scientific reports · 2026Article
- An Accessible Python Framework for Real-Time Magnetic Tweezers Microscope Control and Image Processing.bioRxiv : the preprint server for biology · 2025Article
- Uniform dynamics of cohesin-mediated loop extrusion in living human cells.Nature genetics · 2025Article
- Deep3DSIM: Super-resolution imaging of thick tissue using 3D structured illumination with adaptive optics.eLife · 2025Article
- An open-source microscopy framework for simultaneous control of image acquisition, reconstruction, and analysis.HardwareX · 2023Article
- Live cell microscopy: From image to insight.Biophysics reviews · 2022Review
- Enabling reactive microscopy with MicroMator.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Custom-built microscopes often require control of multiple hardware devices and precise hardware coordination. It is also desirable to have a solution that is scalable to complex systems and that is translatable between components from different manufacturers. Here we report Python-Microscope, a free and open-source Python library for high-performance control of arbitrarily complex and scalable custom microscope systems. Python-Microscope offers simple to use Python-based tools, abstracting differences between physical devices by providing a defined interface for different device types. Concrete implementations are provided for a range of specific hardware, and a framework exists for further expansion. Python-Microscope supports the distribution of devices over multiple computers while maintaining synchronisation via highly precise hardware triggers. We discuss the architectural features of Python-Microscope that overcome the performance problems often raised against Python and demonstrate the different use cases that drove its design: integration with user-facing projects, namely the Microscope-Cockpit project; control of complex microscopes at high speed while using the Python programming language; and use as a microscope simulation tool for software development.
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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.