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Cited by 1,294

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

ScanImage: Flexible software for operating laser scanning microscopes

Open access
Pologruto, Thomas A, Sabatini, Bernardo L, Svoboda, Karel·2003·BioMedical Engineering OnLine

Abstract

BACKGROUND: Laser scanning microscopy is a powerful tool for analyzing the structure and function of biological specimens. Although numerous commercial laser scanning microscopes exist, some of the more interesting and challenging applications demand custom design. A major impediment to custom design is the difficulty of building custom data acquisition hardware and writing the complex software required to run the laser scanning microscope. RESULTS: We describe a simple, software-based approach to operating a laser scanning microscope without the need for custom data acquisition hardware. Data acquisition and control of laser scanning are achieved through standard data acquisition boards. The entire burden of signal integration and image processing is placed on the CPU of the computer. We quantitate the effectiveness of our data acquisition and signal conditioning algorithm under a variety of conditions. We implement our approach in an open source software package (ScanImage) and describe its functionality. CONCLUSIONS: We present ScanImage, software to run a flexible laser scanning microscope that allows easy custom design.

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Crossref · 10.1186/1475-925x-2-13

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Metadata

Authors
Pologruto, T. A., Sabatini, B. L., & Svoboda, K.
Venue
BioMedical Engineering OnLine
Published
2003-05-17
Volume
2
Issue
1
Pages
13-13
ISSN
1475-925X (ISSN-L)
OpenAlex
W2121071682
Cited by
1,294
References
2
FWCI
6.61
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: ScanImage: Flexible software for operating laser scanning microscopes. https://app.cochat.ai/papers/10.1186/1475-925x-2-13
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Pologruto, T. A., Sabatini, B. L., & Svoboda, K. (2003). ScanImage: Flexible software for operating laser scanning microscopes. BioMedical Engineering OnLine. https://doi.org/10.1186/1475-925x-2-13

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.