HelioScan : A software framework for controlling in vivo microscopy setups with high hardware flexibility, functional diversity and extendibility

Autor: Marcel van ’t Hoff, Chetan Nagaraja, Hansjörg Kasper, Maurice Göldi, Oliver A. Pfäffli, Andreas J Keller, Dominik Langer, Fritjof Helmchen
Přispěvatelé: University of Zurich, Helmchen, F
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Exploit
Two-photon laser scanning microscopy
Intrinsic optical imaging
Control software
LabVIEW
Neuroscience(all)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Neuroimaging
610 Medicine & health
computer.software_genre
Field (computer science)
Mice
03 medical and health sciences
0302 clinical medicine
Software
Computer Systems
Component (UML)
Image Processing
Computer-Assisted
Animals
Computer Simulation
10194 Institute of Neuroinformatics
030304 developmental biology
Flexibility (engineering)
Microscopy
0303 health sciences
Microscopy
Confocal
Microscopy
Video
10242 Brain Research Institute
Computers
business.industry
General Neuroscience
SIGNAL (programming language)
Neurosciences
Brain
2800 General Neuroscience
Equipment Design
Software framework
Data Interpretation
Statistical
Component-based software engineering
570 Life sciences
biology
Calcium
business
computer
030217 neurology & neurosurgery
Computer hardware
Neurovetenskaper
Zdroj: Journal of Neuroscience Methods, 215 (1)
Journal of neuroscience methods
ISSN: 0165-0270
1872-678X
Popis: Intravital microscopy such as in vivo imaging of brain dynamics is often performed with custom-built microscope setups controlled by custom-written software to meet specific requirements. Continuous technological advancement in the field has created a need for new control software that is flexible enough to support the biological researcher with innovative imaging techniques and provide the developer with a solid platform for quickly and easily implementing new extensions. Here, we introduce HelioScan, a software package written in LabVIEW, as a platform serving this dual role. HelioScan is designed as a collection of components that can be flexibly assembled into microscope control software tailored to the particular hardware and functionality requirements. Moreover, HelioScan provides a software framework, within which new functionality can be implemented in a quick and structured manner. A specific HelioScan application assembles at run-time from individual software components, based on user-definable configuration files. Due to its component-based architecture, HelioScan can exploit synergies of multiple developers working in parallel on different components in a community effort. We exemplify the capabilities and versatility of HelioScan by demonstrating several in vivo brain imaging modes, including camera-based intrinsic optical signal imaging for functional mapping of cortical areas, standard two-photon laser-scanning microscopy using galvanometric mirrors, and high-speed in vivo two-photon calcium imaging using either acousto-optic deflectors or a resonant scanner. We recommend HelioScan as a convenient software framework for the in vivo imaging community.
Journal of Neuroscience Methods, 215 (1)
ISSN:0165-0270
ISSN:1872-678X
Databáze: OpenAIRE
Externí odkaz: