Scientifica SciScan wins microscopy today award

SciScan wins a Microscopy Today Innovation Award

Scientifica is very happy to announce that our multiphoton laser scanning microscopy software has been judged as one of the ten best innovations in the 2016 Microscopy Today Innovation Awards.

The award was given to Scientifica during the Microscopy & Microanalysis meeting in Columbus, Ohio, for the development of SciScan, a free, open-source, LabVIEW-based software for controlling two-photon laser scanning experiments.

Scientifica’s Managing Director, Keith Watson, said: “Scientifica is honoured to receive this award from Microscopy Today for our SciScan multiphoton imaging software.

We are dedicated to supporting leading researchers around the world in their quest to unlock the secrets of life, and SciScan has been designed and built in close collaboration with those researchers to help them achieve this.

Our software development team, led by Dr Bruno Pichler, are very pleased to receive the award in recognition of the contribution SciScan continues to make for science.”

Download SciScan 1.2 now

SciScan can be used to control and acquire data from both galvanometer and resonant laser scanning microscopes.

A Graphical User Interface (GUI) provides control over all the features commonly found in LSM software. For example, two-dimensional frame scans, z-stacks, arbitrary line scans (Galvo only), zoom (digital and optical), on-the-fly plotting of mean grey values of multiple regions of interest (ROI), and controls for piezoelectric focusing devices to facilitate fast 3D scanning, among others.

Furthermore, SciScan provides functionality that is rarely found in other LSM software packages, such as the Position Save Module, the SciScript module, ActiveX connectivity and OME compatibility.

SciScan is the only software package for laser scanning microscopy which is open-source, free of charge, OME-compatible and is scriptable both internally and externally, all of which reduce the time for initial setup and thereby increase research productivity.