Quantitative and scalable whole-brain neuroanatomical mapping, with cellular resolution and molecular specificity, poses significant technological challenges. Indeed, a high image quality must be preserved reliably across the entire specimen and not only in a few representative volumes. On the other hand, robust and automated image analysis methods must be appropriately scalable to teravoxel datasets. Here, we present an experimental pipeline, involving tissue clearing, high-resolution light-sheet microscopy, volume registration to atlas, and deep learning strategies for image analysis, allowing the reconstruction of 3D maps of selected cell types in the whole mouse brain. We employed RAPID autofocusing [Silvestri et al., submitted] to keep the system sharply in focus throughout the entire mouse brain, without reducing the microscope throughput. Images were spatially anchored to reference atlas using semi-automatic tools (xNII family, http://www.nesys.uio.no). Finally, we used novel high-throughput tools for image processing, including deep learning strategies [Frasconi et al., 2014] to localize single neurons with high accuracy. By applying our pipeline to transgenically-labeled samples, we can produce an atlas of spatial distribution of genetically-defined cell types. Besides being a valuable reference for neurobiologists, these datasets can be used to build realistic simulations of neuronal functioning, such as in the Human Brain Project.
Although perfectly transparent specimens are imaged faster with light-sheet microscopy, less transparent samples are often imaged with two-photon microscopy leveraging its robustness to scattering; however, at the price of increased acquisition times. Clearing methods that are capable of rendering strongly scattering samples such as brain tissue perfectly transparent specimens are often complex, costly, and time intensive, even though for many applications a slightly lower level of tissue transparency is sufficient and easily achieved with simpler and faster methods. Here, we present a microscope type that has been geared toward the imaging of semicleared tissue by combining multispot two-photon excitation with rolling shutter wide-field detection to image deep and fast inside semicleared mouse brain. We present a theoretical and experimental evaluation of the point spread function and contrast as a function of shutter size. Finally, we demonstrate microscope performance in fixed brain slices by imaging dendritic spines up to 400-μm deep.
Light-sheet microscopy enables whole mouse brain imaging in association with clearing methodologies. Here, we present a pipeline for optimal investigation of the vascular component, which offers improved image quality for morphological analysis.
KEYWORDS: Robotics, In vivo imaging, Brain, Two photon excitation microscopy, Spine, Neurons, Cortical activation, Optogenetics, Functional imaging, Current controlled current source
Neurorehabilitation protocols based on the use of robotic devices provide a highly repeatable therapy and have recently shown promising clinical results. Little is known about how rehabilitation molds the brain to promote motor recovery of the affected limb. We used a custom-made robotic platform that provides quantitative assessment of forelimb function in a retraction test. Complementary imaging techniques allowed us to access to the multiple facets of robotic rehabilitation-induced cortical plasticity after unilateral photothrombotic stroke in mice Primary Motor Cortex (Caudal Forelimb Area - CFA). First, we analyzed structural features of vasculature and dendritic reshaping in the peri-infarct area with two-photon fluorescence microscopy. Longitudinal analysis of dendritic branches and spines of pyramidal neurons suggests that robotic rehabilitation promotes the stabilization of peri-infarct cortical excitatory circuits, which is not accompanied by consistent vascular reorganization towards pre-stroke conditions. To investigate if this structural stabilization was linked to functional remapping, we performed mesoscale wide-field imaging on GCaMP6 mice while performing the motor task on the robotic platform. We revealed temporal and spatial features of the motor-triggered cortical activation, shining new light on rehabilitation-induced functional remapping of the ipsilesional cortex. Finally, by using an all-optical approach that combines optogenetic activation of the contralesional hemisphere and wide-field functional imaging of peri-infarct area, we dissected the effect of robotic rehabilitation on inter-hemispheric cortico-cortical connectivity.
Light-sheet microscopy (LSM) has proven a useful tool in neuroscience and is particularly well suited to image the entire brain with high frame rates at single cell resolution. On the one hand, LSM is employed in combination with tissue clearing methods like CLARITY which allows for the reconstruction of neuronal or vascular anatomy over cm-sized samples. On the other hand, LSM has been paired with intrinsically transparent samples for real-time recording of neuronal activity with single cell resolution across the entire brain, using calcium indicators like GCaMP6.
Despite its intrinsic advantages in terms of high imaging speed and reduced photobleaching, LSM is very sensitive to residual opaque objects present in the sample, which cause dark horizontal stripes in the collected images. In the best case, these artefacts obscure the features of interest in structural imaging; in the worst case, dynamic shadowing introduced by red blood cells significantly alters the fluorescence signal variations related to neuronal activity.
We show how the use of Bessel beams in LSM can dramatically reduce such artefacts even in conventional one-sided illumination schemes, thanks to their “self-healing” properties. On the functional side, Bessel-beam LSM allows recording neuronal activity traces without any disturbing flickering caused by the movement of red blood cells. On the structural side, our proposed method is capable of obtaining anatomical information across the entire volume of whole mouse brains allowing tracing blood vessels and neuronal projections also in poorly cleared specimens.
Large volumes imaging with microscopic resolution is limited by light scattering. In the last few years based on refractive index matching, different clearing approaches have been developed. Organic solvents and water-based optical clearing agents have been used for optical clearing of entire mouse brain. Although these methods guarantee high transparency and preservation of the fluorescence, though present other non-negligible limitations. Tissue transformation by CLARITY allows high transparency, whole brain immunolabelling and structural and molecular preservation. This method however requires a highly expensive refractive index matching solution limiting practical applicability. In this work we investigate the effectiveness of a water-soluble clearing agent, the 2,2'-thiodiethanol (TDE) to clear mouse and human brain. TDE does not quench the fluorescence signal, is compatible with immunostaining and does not introduce any deformation at sub-cellular level. The not viscous nature of the TDE make it a suitable agent to perform brain slicing during serial two-photon (STP) tomography. In fact, by improving penetration depth it reduces tissue slicing, decreasing the acquisition time and cutting artefacts. TDE can also be used as a refractive index medium for CLARITY. The potential of this method has been explored by imaging a whole transgenic mouse brain with the light sheet microscope. Moreover we apply this technique also on blocks of dysplastic human brain tissue transformed with CLARITY and labeled with different antibody. This clearing approach significantly expands the application of single and two-photon imaging, providing a new useful method for quantitative morphological analysis of structure in mouse and human brain.
Light scattering inside biological tissue is a limitation for large volumes imaging with microscopic resolution. Based on
refractive index matching, different approaches have been developed to reduce scattering in fixed tissue. High refractive
index organic solvents and water-based optical clearing agents, such as Sca/e, SeeDB and CUBIC have been used for
optical clearing of entire mouse brain. Although these methods guarantee high transparency and preservation of the
fluorescence, though present other non-negligible limitations. Tissue transformation by CLARITY allows high
transparency, whole brain immunolabelling and structural and molecular preservation. This method however requires a
highly expensive refractive index matching solution limiting practical applicability to large volumes.
In this work we investigate the effectiveness of a water-soluble clearing agent, the 2,2'-thiodiethanol (TDE) to clear
mouse and human brain. TDE does not quench the fluorescence signal, is compatible with immunostaining and does not
introduce any deformation at sub-cellular level. The not viscous nature of the TDE make it a suitable agent to perform
brain slicing during serial two-photon (STP) tomography. In fact, by improving penetration depth it reduces tissue
slicing, decreasing the acquisition time and cutting artefacts. TDE can also be used as a refractive index medium for
CLARITY. The potential of this method has been explored by imaging blocks of dysplastic human brain transformed
with CLARITY, immunostained and cleared with the TDE. This clearing approach significantly expands the application
of single and two-photon imaging, providing a new useful method for quantitative morphological analysis of structure in
mouse and human brain.
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