SLAP2

Platform

The living brain is opaque: it absorbs and scatters light. Most imaging methods rapidly lose resolution and sensitivity deeper than tens of microns below the brain surface. To image tiny features deeper inside the brain, neuroscientists use two-photon microscopy, in which pulsed infrared laser light excites fluorescence one voxel at a time.

This serial excitation process is fundamentally slow. Each voxel takes at least a few nanoseconds to measure, a limit imposed by the time it takes an excited fluorophore to emit light. The volume containing just a single neuron’s dendrites can include on the order of a billion resolvable voxels.

Measurement speed is critically important for studying how neural circuits process information. Neural activity evolves on millisecond timescales, and detecting coincidences in inputs from two different synapses onto a neuron can require sampling at >100 Hz.

Synaptic activity (red) onto a neuron's dendrites (cyan) captured with SLAP2 at over 200 frames per second in vivo. SLAP2 efficiently records from arbitrary patterns of pixels while ignoring intervening space (black regions). Online motion correction stabilizes the recording in real time to prevent lost data due to brain movements.

SLAP2 is a two-photon microscope based on a new scanning system designed to address these challenges. It records patterns of synaptic input (e.g., glutamate) and output (e.g., membrane voltage) in individual neurons at hundreds to thousands of frames per second in mice performing complex behaviors.

SLAP2 uses a flexible scan system that combines a digital micromirror device (DMD) with a high-speed scanner. This lets it target only selected pixels for imaging, with frame time proportional to the number of pixels selected—an approach often called random-access imaging. Previous random-access microscopes required access times of tens of microseconds to jump between imaging targets (thousands of times longer than the time to acquire a single pixel). In contrast, SLAP2 has no per-target access-time cost.

SLAP2 scan engine

SLAP2 first creates a long line focus (extended in the Y-axis). A fast scanner sweeps the line rapidly along the X-axis, illuminating a rectangular 2D field of view one column at a time. A DMD, a programmable array of tilting mirrors, discards most of the light, retaining only selected pixels in each column. The pattern on the DMD is updated with each laser sweep, allowing highly flexible sets of pixels to be recorded with each sweep. The field of view is rapidly targetable in Z using a remote focusing device based on a tiny piezo-actuated mirror. SLAP2 contains two of these imaging paths operating independently, which alternate measurements at 11 kHz each and 100% duty cycle.

SLAP2 uses two independent DMD-based imaging paths that are independently steered, enabling recordings of hundreds of synapses from multiple neuron regions at once.

SLAP2 microscope kits are available from MBF Bioscience.

Online motion correction

During imaging, SLAP2 tracks brain movement from the incoming image stream and corrects it in real time, with latencies under 100 microseconds. This compensates for most motion artifacts, even in head-fixed mice running on a treadmill.

Brain motion (orange) and residual motion with online 3D motion correction (blue).

Neurotransmitter indicators

Spontaneous glutamate release in cultured neurons expressing iGluSnFR3. These neurons have been silenced with TTX. The red flashes are miniature release events caused by asynchronous, spontaneous release of individual synaptic vesicles. Detecting these fundamental quanta of neural communication highlights the high sensitivity of this indicator.

To visualize inputs to neurons, we develop fluorescent protein neurotransmitter indicators. Neurons communicate at synapses by releasing brief (~1 ms) bursts of neurotransmitter molecules, such as glutamate, GABA, or dopamine. To make these molecules visible, we engineer genetically encoded indicators that bind neurotransmitters and fluoresce. These indicators are expressed on a neuron’s surface to report its synaptic inputs.

In collaboration with other protein-engineering groups, we are developing next-generation indicators for a variety of neurotransmitters and neuromodulators. Our glutamate indicators, iGluSnFR3 and iGluSnFR4, are available from Addgene.

Synaptic population recordings

SLAP2 has multiple imaging modes that trade off speed,scale, and resolution. It can record hundreds of synapses at >200 Hz inmulti-ROI raster mode, and >1,000 synapses at >50 Hz in band-scanningmode. Integration mode enables multi-kHz random-access voltage imaging frommany targets at once.

SLAP2 imaging modes. Arbitrarily shaped ROIs (red outlines) can be defined for random-access imaging in any combination of three modes. The modes flexibly trade off Y-resolution for imaging speed: In Multi-ROI raster mode, images are recorded at full resolution.  In Band Scanning mode, each ROI is composed of bands with reduced Y-resolution that follow the ROI contours. In Integration mode, Y-resolution within each ROI is lost, but multi-kHz recordings can be performed over hundreds of ROIs at once.
Example data showing tuning curves of a layer 2/3 pyramidal neuron’s output (calcium, red), total measured glutamate (green), and individual input synapses, black, for eight directions of drifting grating stimuli shown to a mouse. The multiple peaks during grating stimuli correspond to the phase of the visual gratings (2 Hz temporal frequency).

SLAP 2 data processing

Incoming image data from photodetectors is processed to extract biologically relevant signals, such as synaptic activity. High-speed imaging of fast indicators allows us to adapt methods from localization microscopy to generate super-resolution maps of activity that report synapse locations. Using the inferred synapse locations, we apply matrix-factorization approaches to decompose the recordings into the activity of each synapse overtime. We evaluate data-processing algorithms using multiple ground-truth strategies, including post hoc tissue expansion and immunohistochemical labeling of synapses.

Close-up of a dendrite segment imaged with SLAP2. Mean intensity image in cyan, super-resolution localized glutamate activity in red. Scalebar 2 microns.

Additional funding from:

  • NIH DP2NS136990
  • BRAIN Initiative UM1MH136462
  • NIH SBIR R44MH129023
  • CZI CP2-1-0000000704
  • Howard Hughes Medical Institute

Our projects

Explore open projects

Brain-Wide Circuit Dynamics

We are using large-scale electrophysiology to study how distributed brain regions coordinate their spiking activity to guide behavior in changing environments.

Behavior and Motor Control

We are developing and using genetic, electrophysiological, optical, and behavioral approaches to investigate how the brain adaptively controls behavior. The team focuses on understanding the descending circuits that control the execution of actions and how they change when actions are reinforced and refined.

Credit Assignment During Learning

We are using optical connection-mapping techniques and brain computer interface (BCI) in the context of a learning task to ask how the brain updates its synapses to support behavioral learning without interfering with existing skills or memories.

Platforms accelerate our work

SLAP2

This platform uses a two-photon microscope SLAP2 that records patterns of synaptic input and output in individual neurons at hundreds to thousands of frames per second in mice performing complex behaviors, using a flexible scan system that combines a digital micromirror device (DMD) with a high-speed scanner.

Scientific Instrumentation & Process Engineering

The Scientific Instrumentation and Process Engineering (SIPE) team is a shared engineering resource within the Allen Institute, focused on enabling and scaling cutting-edge bioscience through integrated hardware and software systems.

Surgery

This team performs a variety of surgical procedures, including stereotaxic injections and implanting chronic cranial windows and Neuropixels probes.

Multi-Neuropixels Electrophysiology

This platform implements pioneering technology for highly reproducible, targeted, brain-wide, cell-type-specific electrophysiology to record neural activity from defined neuron types across the brain. Analysis and quality control of the electrophysiology data are fully automated.

Brain-Wide Anatomy at Synaptic Resolution

This platform combines innovative histology, ExA-SPIM microscopy, image handling, and machine learning to map the morphology and molecular identity of individual neurons across the whole brain at high throughput.

Fiber Photometry

This platform enables optical measurement of neural activity and neurotransmitter release in populations of neurons to study neural circuit dynamics in behaving animals.

Behavior

The Behavior platform uses advanced technology to implement a standardized, modular, multi-task virtual reality gymnasium for mice, with the goal to study brain function across different behaviors at scale.