uSPIM Toolset

uSPIM Toolset provides control, synchronization, calibration, and acquisition capabilities for Selective Plane Illumination Microscopy (SPIM) to enable high-speed volumetric fluorescence imaging and brain-wide calcium activity measurements in live organisms such as larval zebrafish.


Key Features:

  • Hardware control and synchronization: Software-driven control and synchronization of microscope components for scanned-laser-beam SPIM implementations.
  • MicroManager integration: Integration with MicroManager for device control and image acquisition in SPIM configurations.
  • Calibration procedures: Calibration workflows that optimize image acquisition parameters for specific optical designs and hardware configurations.
  • Scanned-beam high-speed acquisition: Support for scanned laser beam acquisition enabling volumetric imaging at rates up to 100 planes per second.
  • Single-cell resolution imaging: Capability to capture calcium activity at single-cell resolution across the larval zebrafish brain.
  • Flexibility to optical and hardware variations: Operates independently of particular optical designs or hardware configurations to accommodate custom SPIM setups.

Scientific Applications:

  • Brain-wide calcium imaging: Measurement of calcium activity across the larval zebrafish brain at single-cell resolution.
  • Functional imaging with high temporal resolution: Functional fluorescence imaging studies that require rapid volumetric acquisition to capture fast dynamics.
  • High-resolution volumetric fluorescence imaging: Volumetric imaging for cellular- and system-level investigations using SPIM.

Methodology:

Implements MicroManager-based device control and synchronization, scanned laser beam acquisition, and calibration procedures to optimize image acquisition for SPIM setups.

Topics

Details

Added:
1/18/2021
Last Updated:
3/10/2021

Operations

Publications

Saska D, Pichler P, Qian C, Buckley CL, Lagnado L. μSPIM Toolset: A software platform for selective plane illumination microscopy. Journal of Neuroscience Methods. 2021;347:108952. doi:10.1016/j.jneumeth.2020.108952. PMID:33017646.