The HoloStim-3D seamlessly integrates with the HyperScope, an award-winning multiphoton imaging system, to create an industry-leading spatial light modulator (SLM) system for all-optical interrogation of neural networks with previously unachievable performance.
Award-winning two-photon acquisition software designed and built by Scientifica in collaboration with researchers.
Control both galvo and resonant scanning systems for both in vivo and in vitro imaging applications.
Design & Specifications
Frame rateup to ~50fps with the galvo scan head (200x50 pixels)
|up to ~248fps with the resonant scan head (1024x64 pixel)|
TriggersTTL OUT channels (sample clock, pixel clock, line clock, frame clock) for accurate synchronization with external equipment
|TTL IN for triggering a recording from external equipment|
ChannelsUp to 4 PMT channels
|Laser intensity control||
Laser intensity controlIntegrated intensity control (using a Pockels cell or a motorised half-wave plate)
Volume ScanningFast volume scanning using a piezo objective positioner
|Standard scan modes||
Standard scan modesFrame scan, Z-stacks, line scan
Other modesROI Monitoring
Advanced modulesPosition Save Module for chronic in-vivo imaging enables users to save multiple recording locations and quickly find the same locations again days or weeks later
|SciScript - intuitive user interface for creating pre-programmed sequences and loops of frame scans, recordings|
Our multiphoton laser scanning microscopy software has been judged as one of the ten best innovations in the 2016 Microscopy Today Innovation Awards.
Research Papers Expand
Schuck, R., Go, M., Garasto, S., Reynolds, S., Dragotti, P. and Schultz, S. (2018). Multiphoton minimal inertia scanning for fast acquisition of neural activity signals. Journal of Neural Engineering, 15(2) https://doi.org/10.1088/1741-2552/aa99e2
Steck, K., Walker, S., Itskov, P., Baltazar, C., Moreira, J. and Ribeiro, C. (2018). Internal amino acid state modulates yeast taste neurons to support protein homeostasis in Drosophila. eLife, 7 https://doi.org/10.7554/eLife.31625.001