We describe two methods for visualization and quantification of dendritic arborization in the hippocampus of mouse models: real-time and extended depth of field imaging. While the former method allows sophisticated topographical tracing and quantification of the extent of branching, the latter allows speedy visualization of the dendritic tree.
Dendritic arborization has been shown to be a reliable marker for examination of structural and functional integrity of neurons. Indeed, the complexity and extent of dendritic arborization correlates well with the synaptic plasticity in these cells. A reliable method for assessment of dendritic arborization is needed to characterize the deleterious effects of neurological disorders on these structures and to determine the effects of therapeutic interventions. However, quantification of these structures has proven to be a formidable task given their complex and dynamic nature. Fortunately, sophisticated imaging techniques can be paired with conventional staining methods to assess the state of dendritic arborization, providing a more reliable and expeditious means of assessment. Below is an example of how these imaging techniques were paired with staining methods to characterize the dendritic arborization in wild type mice. These complementary imaging methods can be used to qualitatively and quantitatively assess dendritic arborization that span a rather wide area within the hippocampal region.
Dynamic alterations in the number and structure of synapses are hallmarks of development, aging, and numerous neurodegenerative disorders1-3. The ability of neurons to receive and integrate synaptic information depends upon dendritic morphology and dynamic alterations in synaptic connections. Indeed, a positive correlation exists between dendritic spine and synapse number, which both impact cognitive function4. Thus, it is not surprising that decrements in dendritic spine number have been associated with cognitive dysfunction in a number of neurological disorders5-7, prompting great interest in dendritic spine quantification. Nevertheless, the quantification of spine density remains a time-consuming and tedious task that fails to generate useful information regarding the topography and distribution of synapses across the dendritic tree. Fortunately, staining methods (e.g., Golgi-Cox and doublecortin (DCX)) in conjunction with sophisticated imaging techniques can be utilized to overcome current barriers and produce high-resolution images of dendritic arborization in a reliable and expeditious manner. While Golgi-Cox staining method can be deployed to assess the state of dendritic arborization in all neurons8, DCX can be deployed to label newly-born neurons particularly in the dentate gyrus and subventricular zone9, an important consideration given that neurogenesis occurs in both these regions throughout the lifespan10,11.
Following staining, two imaging methods were deployed to assess dendritic characteristics: i) real-time imaging (RTI) and ii) extended depth of field imaging (EDFI). The RTI technique provides a mean to trace and quantify the length and order of arborization along the individual dendritic segments and branches. Thus it enables one to estimate the total area and volume occupied by each dendritic tree. More specifically, in the RTI method the user continuously identifies the segments and refocuses iteratively as the neuron tracing software collects the x, y, and z coordinates of the dendritic structure and reconstructs the trajectory of the dendritic structure in 3D. Comparatively, the EDFI method provides a rather simple and expedited means for assessing dendritic density in rather thick tissue specimens by generating a composite image, providing information on the entire z-axis. To do so, the user records high definition video files throughout the thickness of the section and then uses software to search the video frames to identify points wherein a pixel is completely in focus. Subsequently, the focused pixels are merged and integrated into a high-resolution, composite 2D image. This composite image contains all pixels that were in-focus regardless of their position in the z axis. Qualitative and quantitative analysis of these 2D images can be used subsequently to determine the density of dendritic branching in each field.
Lastly, we present a panoramic method for generating extremely high-resolution images for the analysis and assessment of dendrites in an entire region of interest. This technique can be deployed to overcome the lack of access to very high-resolution and expensive digital cameras. Using this method, one captures serial images at different locations along the x- and y-axes and then automatically stitches them together using a freeware (e.g., Image Composite Editor). Notably, this method can be used for qualitative and quantitative assessment of dendritic arborization in a rather wide area.
NOTE: Experiments were conducted in accordance with the ethical standards approved by the Committee on Animal Research at the Veterans Affairs Palo Alto Health Care System.
1. Golgi-Cox Staining
2. Doublecortin Staining
3. Visualization
4. EDFI
NOTE: This method enables the user to rapidly record a large number of images through the z-axis of each field and generate a 2D image that contains all the focused pixels throughout the z-axis. The result will be a composite image that contains all focused pixels from collected images.
5. Generating Extremely-high Resolution Images
NOTE: This method allows the user to automatically generate low magnification and extremely high-resolution images from high-magnification-high resolution images in an automatized fashion.
The extent of arborization arising from extant and newly born dentate granule cells was analyzed in wild type mice using either Golgi-Cox or DCX staining (Figure 1). Dendritic segments of DCX-positive cells were found to be 13-36 microns long. The normal distribution of dendritic length was tested using Kolmogorov-Smirnov test (D = 0.1217, p <0.01, Liliefors p <0.001; Figures 4 and 5).
In the analysis of length of segments per order of arborization, the longest segments were found in the first order of arborization (38.38 + 1.45 µm). Similar patterns were found for the surface (111.98 + 3.93 square micron) and volume (27.93 + 1.03 cubic µm). The linear correlation between the length of segments and the surface area and/or volume occupied by these segments were also tested. Both surface (p = 0.001, r2 = 0.873) and volume (p = 0.001, r2 = 0.621) correlated significantly with the length of each dendritic segment.
Figure 1: Here Fan diagram was used to assess the dendritic length of dentate granule cells in the hippocampus. This visualization tool can be used to compare the effects of different therapeutic interventions or genotypes on dendritic length. The unit of measurements is µm.
Figure 2: Visualization of dendritic arborization without (A) and with EDFI (B) methods. The traditional method of finding the best focus plane was compared with EDFI (data not shown) and found significantly higher values of dendritic area using the EDFI method (p = 0.02). Scale bar = 100 µm.
Figure 3: A high-resolution image of the hippocampal region in a mouse. This extremely high resolution image is automatically constructed from stitching 10 (4,076 x 3,116)-pixel images. Scale bare = 100 µm.
Figure 4: The quantification of length and volume occupied by dendrites in different orders of branching. The maximum length and volume were achieved in the order 1.
Figure 5: Histogram of dendritic length of dentate granule cells. The majority of dendritic segments of DCX-stained dendrites were 13-26 in length. The red dotted line depicts normal distribution of the data presented.
Here, two methods were described to quantify the extent of dendritic arborization in mature and newly-born neurons using conventional staining methods in conjunction with RTI and EDFI. The acquisition of high resolution images of neurons provides an extremely useful method for testing the deleterious effects of neurodegenerative disorders and, in turn, provides a means to assess therapeutic strategies that target hippocampal neurons.
While the RTI method was utilized to capture in-depth data pertaining to the extent of arborization and topography, the EDFI method fails to provide information pertaining to the complexity of individuals segments or trees. Nevertheless, the benefits of the EDFI method lie in the fact that it does not require the purchase of expensive hardware and is less time consuming.
An image analysis program was used to perform EDFI in video files. Having access to high resolution and fast cameras allows the collection of a large number of images throughout the thickness of each field and generates images that truly represent the x, y, and z dimensions. One drawback of the EDFI method pertains to the fact that there could be more than one pixel (same x and y) focused in different planes throughout the z-axis. A method is envisioned to assign different colors to these pixels precisely representing the extent of 3D profiles in 2D images. It should be noted that the EDFI method could also be used for the analysis of cellular profiles (e.g., synapses, microglia, and astrocytes). Moreover, this method can be used to analyze the extent of microglial distribution throughout the thickness of a section7. The two methods described here can be used in a complementary fashion. While the RTI method provides precise information on topography of branching pattern, the EDFI gives us a rather simple and expedited method to assess density of dendrites in an area of interest. Notably, the thickness of sections that can be acquired with EDFI are highly variable as the range of z focus on the microscope stage in combination with the optical focus of the microscope objectives dictate the boundaries of EDFI.
The methods described herein have the potential to be deployed in multiple contexts. In this study we provided a means to assess changes in dendritic arborization pre and post intervention, whereas EDFI was used to quantify microglial activation7. Thus, this technique is amenable to any application wherein the ultimate goal is to assess changes in small profiles that can be found in multiple layers.
Finally, these techniques can overcome lack of access to very high resolution and expensive digital cameras. In essence, a method was shown on how to capture serial images at different points of locations within a specimen and then stitch them together using a freeware, ultimately yielding high resolution images in a manner that is far more reliable and expeditious than conventional methods.
Critical steps
Golgi staining
Stock quantities of Golgi and Developing solutions are kept at 4 °C for storage and yet the staining and incubation protocols require the solution to be utilized at room temperature. Cooling the Golgi and Developing solutions on ice or in the fridge adversely affects the quality of dendritic staining. Moreover, it should be noted that we used fast-developing Golgi solutions. While the exact composition of the Golgi-Cox solution used in this study is proprietary, there are multiple sources that list in detail protocol that can be used to perform Golgi-Cox staining13. However, the use of other Golgi-solutions will significantly alter staining durations and modifications for these steps should be made accordingly. Also, we along with others have used 150 μm thick sections to analyze DGC neurons14,15 as it is generally agreed that cutting sections of this thickness coronally and in parallel to the dentate granule cell arborizations minimizes the risk of cutting dendritic branches.
DCX staining
The DCX staining protocol requires explicit attention to temperature. Failure to heat the solution to 37 °C during the preincubation period will significantly impair staining and result in loss of dendritic visualization. Moreover, attention to section thickness is warranted. In this study we used 70 µm thick sections to capture the maximum extent of DGCs dendritic arborization. In our experience, the use of 0.3% triton is a necessity as it significantly facilitates penetration of the antibody throughout the thickness of the floating sections. Indeed, prior studies have used triton to penetrate 70 µm thick16 or even thicker (120 µm)17 sections when label DGC dendrites. Please see Hussaini for full details of DCX staining18.
Finally, it should be noted that alternative open source programs (e.g. flNeuronTool or Simple_Neurite_Tracer) exist with the ability to record the movement of the stage in x, y, and z directions. Such programs can be used for dendritic tracing as long as they are enabled to communicate with the scanning stage.
The authors have nothing to disclose.
This research was supported by grants from the LuMind Foundation, Research Down Syndrome, and the Alzheimer’s Association (AS). CP was partially supported by a faculty development grant from the College of Nursing and Health Professions at Arkansas State University.
Name | Company | Catalog Number | コメント |
Modified Golgi-cox staining solution | Weill Cornell Medical College | NA | store at 4°C till use |
1x Developing Solution (Stock 10x) | Weill Cornell Medical College | NA | store at 4°C till use |
30% Sucrose, | Sigma | CAS # 57-50-1 | make fresh in ddH2O |
0.3% Gelatin | Sigma | CAS # 9000-70-8 | NA |
Graded Ethanol Solutions (20%, 30%, 40%, 50%, 80%. 90%, 95%. 100%) | Sigma | CAS 603-003-00-5 | NA |
Xylene | Sigma | CAS # 1330-20-7 | NA |
DPX Medium | EMS | #13510 | NA |
Superfrost (+) white | Electron Microscopy Sciences | 71869-10 | NA |
Coverslip 22x50mm (VWR #48393-059) | VWR | #4811-703 | NA |
DCX Antibody | Santa Cruz Biotechnology | sc-8066 | 4 C |
DAB | Sigma | CAS Number 91-95-2 | -20 |
OCT | Tissue-tek | 4583 | NA |
Tris | Sigma | CAS Number 77-86-1 | NA |
ABC Lite | Vector | PK4000 | NA |
Name | Company | Catalog Number | コメント |
Microscope | Nikon | Eclipse 80i | |
Digital Camera | Nikon | DS-Ri1 | |
12 bit Camera | QImaging | 01 MBF2000RF-CLR-12 | |
Neurolucida System | MBF Bioscience | V.10 | |
Image Composite Editor | Microsoft | 1.4.4.0 | |
NIS Elements | Nikon | F 3.0 | |
Image Pro Plus | Mediacy | Versin 7.00 |