Scientifica Motorised Movable Base Plate
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Scientifica Motorised Movable Base Plate (MMBP)

The MMBP is a popular and versatile foundation for electrophysiology and imaging rigs. Easily convert your set up between in vitro and in vivo experiments.

Benefits

Super-smooth movement

Crossed roller bearings ensure smooth motion enabling you to search for other areas of interest even when cells are patched

Ultra-stable motorised platform

An electrically quiet, stable and versatile platform with 50 mm of movement in x and y axes

In vivo and in vitro compatible

Easily switch between in vivo and in vitro samples, with plenty of room between underneath your objective.

Large, versatile mounting plate

Space for multiple manipulators and other equipment on easy to mount sliding carriages to help get your pipettes in the ideal position

Silent

Electrically quiet for recording of extremely small signals without having to switch off the motors

Compatible with major upright microscopes

The MMBP can be used with a large number of microscopes from the major manufacturers, such as Nikon, Olympus, Leica and Zeiss

Control Options

Operate via our ergonomically designed control options or through the specially designed LinLab software

Downloads

Download the Motorised Movable Base Plate (MMBP) brochure for more information.

Design & Specifications

Number of axes
Number of axes
2
Travel distance
Travel distance
50 mm (in X and Y axes)
Electronic resolution
Electronic resolution
20 nm
Minimum step size
Minimum step size
0.1 µm
Maximum speed
Maximum speed
1 µm per second
Maximum speed
Maximum speed
4 mm per second
Memory positions
Memory positions
50 on control device (unlimited via LinLab)
Software
Software
LinLab for Windows

Schematics

mmbp electrophysiology stage schematicmmbp electrophysiology stage schematicmmbp electrophysiology stage schematic

Nadella, K., Roš, H., Baragli, C., Griffiths, V., Konstantinou, G., & Koimtzis, T. et al. (2016). Random-access scanning microscopy for 3D imaging in awake behaving animals. Nature Methods13(12), 1001-1004. http://dx.doi.org/10.1038/nmet...

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