A Flat Embedding Method to Orient Gravistimulated Root Samples for Sectioning.

Microscopy is an important tool used for biological research and has played a crucial role toward understanding of cellular mechanisms and protein function. However, specific steps in processing of biological samples for microscopy warrant improvements to consistently generate data that can more reliably help in explaining mechanisms underlying complex biological phenomenon. Due to their small and fragile nature, some biological specimens such as Arabidopsis thaliana roots are vulnerable to damage during long sample preparation steps. Moreover, when specimens with a small diameter (typically less than 100 µm) are embedded in conventional silicone mold or capsule embedding, it is not only difficult to locate their orientation inside the capsule, but also a challenge to obtain good median longitudinal sections. Specimen orientation in particular is crucial because understanding certain plant biological processes such as gravitropism rely on precisely knowing spatial information of cells and tissues of the plant organ being studied. Here, we present a simple embedding technique to properly orient small plant organs such as roots so that the desired sectioning plane is achieved. This method is inexpensive and can be accomplished with minimal equipment and supplies.

Transmission Immunoelectron Microscopy of Herpes Simplex Virus-1-Infected Dorsal Root Ganglia Neurons Sectioned in Growth Plane.

Transmission immunoelectron microscopy allows for the ultrastructural detection and localization of herpes simplex virus-1 (HSV-1) particles and viral proteins within the infected cell and their relation to the cell cytoskeleton, cellular proteins, vesicles, membranes, and organelles. For the successful application of immunoelectron microscopy, preservation of cell ultrastructure and of epitope antigenicity is essential during sample preparation. This chapter describes the use of chemical fixation followed by rapid cooling of HSV-1 infected sensory neurons in the presence of sucrose as a cryoprotectant to achieve optimal preservation of cell morphology and the use of freeze substitution and resin polymerization at low temperatures for preservation of protein antigenicity. In order to examine HSV-1 infection in the specialized compartments of the neurons (cell body, axons, and growth cones), neurons cultured on plastic coverslips are flat embedded prior to resin polymerization. Overall, this method allows for the ultrathin sectioning and immunogold labeling of the neurons and their axons in growth plane.

From Light Microscopy to Analytical Scanning Electron Microscopy (SEM) and Focused Ion Beam (FIB)/SEM in Biology: Fixed Coordinates, Flat Embedding, Absolute References.

Correlative light and electron microscopy (CLEM) has been in use for several years, however it has remained a costly method with difficult sample preparation. Here, we report a series of technical improvements developed for precise and cost-effective correlative light and scanning electron microscopy (SEM) and focused ion beam (FIB)/SEM microscopy of single cells, as well as large tissue sections. Customized coordinate systems for both slides and coverslips were established for thin and ultra-thin embedding of a wide range of biological specimens. Immobilization of biological samples was examined with a variety of adhesives. For histological sections, a filter system for flat embedding was developed. We validated ultra-thin embedding on laser marked slides for efficient, high-resolution CLEM. Target cells can be re-located within minutes in SEM without protracted searching and correlative investigations were reduced to a minimum of preparation steps, while still reaching highest resolution. The FIB/SEM milling procedure is facilitated and significantly accelerated as: (i) milling a ramp becomes needless, (ii) significant re-deposition of milled material does not occur; and (iii) charging effects are markedly reduced. By optimizing all technical parameters FIB/SEM stacks with 2 nm iso-voxels were achieved over thousands of sections, in a wide range of biological samples.

Spectral multidimensional scaling.

An important tool in information analysis is dimensionality reduction. There are various approaches for large data simplification by scaling its dimensions down that play a significant role in recognition and classification tasks. The efficiency of dimension reduction tools is measured in terms of memory and computational complexity, which are usually a function of the number of the given data points. Sparse local operators that involve substantially less than quadratic complexity at one end, and faithful multiscale models with quadratic cost at the other end, make the design of dimension reduction procedure a delicate balance between modeling accuracy and efficiency. Here, we combine the benefits of both and propose a low-dimensional multiscale modeling of the data, at a modest computational cost. The idea is to project the classical multidimensional scaling problem into the data spectral domain extracted from its Laplace-Beltrami operator. There, embedding into a small dimensional Euclidean space is accomplished while optimizing for a small number of coefficients. We provide a theoretical support and demonstrate that working in the natural eigenspace of the data, one could reduce the process complexity while maintaining the model fidelity. As examples, we efficiently canonize nonrigid shapes by embedding their intrinsic metric into , a method often used for matching and classifying almost isometric articulated objects. Finally, we demonstrate the method by exposing the style in which handwritten digits appear in a large collection of images. We also visualize clustering of digits by treating images as feature points that we map to a plane.