We provide simple and robust protocols for processing biopsy material of various species, embryos of biomedical model organisms and samples of other organic tissues in order to permit digital volume data generation with the high-resolution episcopic microscopy method.
We provide simple protocols for generating digital volume data with the high-resolution episcopic microscopy (HREM) method. HREM is capable of imaging organic materials with volumes up to 5 x 5 x 7 mm3 in typical numeric resolutions between 1 x 1 x 1 and 5 x 5 x 5 µm3. Specimens are embedded in methacrylate resin and sectioned on a microtome. After each section an image of the block surface is captured with a digital video camera that sits on the phototube connected to the compound microscope head. The optical axis passes through a green fluorescent protein (GFP) filter cube and is aligned with a position, at which the bock holder arm comes to rest after each section. In this way, a series of inherently aligned digital images, displaying subsequent block surfaces are produced. Loading such an image series in three-dimensional (3D) visualization software facilitates the immediate conversion to digital volume data, which permit virtual sectioning in various orthogonal and oblique planes and the creation of volume and surface rendered computer models. We present three simple, tissue specific protocols for processing various groups of organic specimens, including mouse, chick, quail, frog and zebra fish embryos, human biopsy material, uncoated paper and skin replacement material.
Structural analysis of organic and anorganic materials is the first step in understanding their physical properties and function. The basis for such analysis often is two-dimensional (2D) information gained by careful observation of histological sections, with a variety of simple and sophisticated imaging methods that extract details of tissue architecture, cell morphology and topology, molecular composition and biomechanical properties1,2,3. However, 2D information is not suited for researching spatially complex arrangements. Hence a growing number of in vivo and ex vivo methods that permit the generation of digital volume data were established in the last decades4 and many more are under development.
The methodical principle of most volume data generation methods is the generation of virtual stacks of digital images displaying sections gained by virtual or physical sectioning of an object. If the section images are aligned properly, this creates a volume, which can be re-sectioned in virtual section planes, or used for creating 3D surface and volume rendered models. Popular techniques for visualizing humans and larger biological specimens are magnetic resonance tomography (MRT), computed tomography (CT), positron emission tomography (PET) and single-photon emission computed tomography (SPECT). Small specimens are usually visualized by using micro-magnetic resonance imaging (µMRI), optical projection tomography (OPT), optical coherence tomography (OCT), photoacoustic tomography (PAT), histological sectioning based methods, confocal microscopy, and electron tomography5,6,7,8,9,10,11,12,13,14,15,16,17.
A relatively new volume data generation technique, which produces digital data of small specimens and histological tissue samples is the HREM method, which was developed in close co-operation with Tim Mohun18,19. It is a simple microscope based technique, which generates digital volume data from resin embedded material that is sectioned on a microtome. The data facilitate detailed analysis of tissue architecture and cell distributions as well as metric analysis of small features on an intermediate light microscopic level.
HREM produces stacks of inherently aligned digital images that appear as if captured from eosin stained histological sections. Tissue contrast and data resolution in respect to the field of view exceed that of data produced with µCT, µMRI, and OPT, but are lower than that achievable with confocal, light sheet and electron microscopy20. However, in contrast to the latter, HREM is capable of visualizing specimens with relative large volumes of up to 5 x 5 x 7 mm3 in histological quality. A number of recent studies provide detailed characterizations and comparisons of advantages and disadvantages of the single imaging techniques and, for the sake of objectivity, we refer to those for further information regarding their limitations and potential fields of applications4,21,22,23,24.
This study focuses on the HREM imaging method and aims to provide very simple protocols for generating HREM data of a broad spectrum of organic materials, as well as examples of their application. The workflow for creating HREM data is simple and applies to all materials that can embed in methacrylate resin (Figure 1). Yet there are tissue specific differences in sample preparation, that need to be considered. We therefore provide three standard protocols for preparing various samples. Embedding and data generation protocol steps are identical for all of them.
All procedures were performed in accordance with ethical guidelines at the Medical University of Vienna.
1. Sample Preparation
2. Embedding
NOTE: Perform all steps under a fume hood wearing protective gloves.
3. Data Generation
NOTE: The HREM prototype18,25 used here comprises the following items: (i) Rotary microtome with a block holder that stops after each cut at its upper turning point. (ii) Standard, non-disposable microtome knife, hard metal, profile D (for details, see Table of Materials). (iii) Head of fluorescence compound microscope with objective revolver and a GFP-filter cube (excitation 470/40; emission filter 525/50) in its optical axis. The optical axis is arranged perpendicular to the freshly cut surface of a block mounted on the microtome and is held by a device that allows up- and downward movement. (iv) Motorized cross table carrying the microtome. The table can be shifted in the direction of the optical axis and laterally. (v) Digital video camera attached to the fluorescent compound microscope. (vi) Monochrome light source (470 nm). (vii) Computer connected to the camera, with data generation software (for details, see Table of Materials).
HREM generates series of inherently aligned digital images with contrasts similar to images of hematoxylin/eosin stained histological sections. As opposed to 2D section images, stacks of HREM images allow for visualization and analysis of the tissue architecture, morphology, and topology of a broad variety of organic materials in 3D. The high contrast often facilitates quick and simple 3D visualization of volume rendered computer models and semiautomatic contour findings for the generation of surface rendered models.
The size of HREM data varies according to the size of the camera target, the mode of image capturing (8, 12, 16 bit, gray scale, color) and the number of single block face images. Smaller data sets of 1,000 8-bit.jpg gray scale images of 2,048 pixels x 2,048 pixels have a size of about 900 MB. Larger data sets of 3,000 8-bit.jpg gray scale images of 4,096 pixel x 4,096 pixel have volumes of approximately 20 GB.
The protocols provided are simple and robust, and during the last decade, they were employed for generating HREM data of many different specimens. Protocol section 1.1 was optimized for processing whole embryos of biomedical model organisms with a length of up to 1 cm and embryo tissue samples with a dimension of up to 5 x 5 x 5 mm3; we used this method for producing HREM data of embryos of the following species: mouse (Mus musculus), chick (Gallus gallus), zebra fish (Danio rerio), quail (Coturnix coturnix), African clawed frog (Xenopus laevis), horse (Equus ferus caballus), milkweed bug (Oncopeltus fasciatus), crocodile (Crocodylia), and octopus (Octopus vulgaris). The data of all species were of excellent quality (e.g., Figure 3)
Protocol section 1.2 was optimized for processing juvenile and adult tissue samples with dimensions up to 5 x 5 x 7 mm3 and employed for visualizing tissue samples of the skin, liver, pancreas, kidney, thyroid, heart, striated muscle, brain, nerves and tumor models harvested from humans (Homo sapiens), mice (Mus musculus), rats (Rattus norvegicus), pigs (Sus scrofa domestica) ferret (Mustela furo), fruit fly (Drosophila melanogaster), and zebra fish (Danio rerio). While the results were excellent with most specimens (e.g., Figure 4, Animation 1), the very central parts of skin (with epidermis) and brain specimens larger than 3 x 3 x 3 mm3 often remained unstained due to insufficient penetration of eosin through these tissues.
Protocol section 1.3 was optimized for processing fibrous organic material and employed for visualizing the fiber architecture of coated paper, uncoated paper, native dermal substitute material and stem cell seeded dermal substitute material. These samples were easy and quick to process. The data of the uncoated paper and most skin substitutes were of good quality (Figure 5, Animation 2). Problems occurred in processing the coated paper, when the anorganic material hindered penetration of eosin. Another issue occurred when processing the skin substitutes on the basis of agar because they became partly digested by the infiltration solution.
Figure 1: Workflow. Steps shown in the red boxes require modifications according to sample characteristics. Steps in the green boxes are those that are similar in all samples. Please click here to view a larger version of this figure.
Figure 2: Customized Molds. Molds can be adapted by cutting a hole into the original mold, inserting the bulb of a Pasteur pipet and sealing it with modeling material. Please click here to view a larger version of this figure.
Figure 3: Exemplarily Visualized Embryos. (A, B) Mouse embryo harvested at embryonic day, E=9.5. HREM section image is shown in (A). Volume rendered 3D model showing the surface is shown in (B). (C) Virtual sagittal section through a volume rendered model of the neck of an E15.5 mouse embryo. (D) Chick embryo at developmental Hamburger Hamilton (HH) stage 18. Surface model of the lumina of the cardiovascular components combined with volume rendering of all embryo tissues. Scale bars = 200 µm. Please click here to view a larger version of this figure.
Figure 4: Exemplarily Visualized Adult Tissue Samples. (A) Part of an HREM section image through a human nerve. Inlay shows a section of the image in more detail. (B) Part of an HREM section image through porcine liver. Note the nuclei. (C) Part of an HREM section image of human lymphatic tissue. (D, E) Thick skin of a human thumb pad. Volume rendered 3D model of the entire biopsy. (D) Surface rendered models of arteries, veins, and nerves in front of a virtual resection through HREM data (E). (F) Experimental tumor in adult mouse tissue. Volume rendered 3D model in front of three virtual sections through HREM data. Note the necrotic parts (arrowheads). Scale bars = 200 µm. Please click here to view a larger version of this figure.
Figure 5: Exemplarily Visualized Fibrous Material. (A, B) HREM section image of uncoated, brown paper. (B) shows a section of (A). Note the fibers and their lumen. (C) HREM section of coated paper. Note that the fibers remain unstained. (D) Volume rendered model of native dermal substitute material. Note the different caliber and form of the fibers. Scale bars = 100 µm. Please click here to view a larger version of this figure.
Animation 1: Volume Rendered Model of Thick Skin of a Human Thumb Pad. The size of the tissue block is approximately 4.2 x 2.7 x 2.7 mm3. Voxel size is 1.07 x 1.07 x 2 µm3. Please click here to view this video. (Right-click to download.)
Animation 2: Volume Rendered Model of Native Dermal Substitute Material. The size of the sample is approximately 1.2 x 0.85 x 0.4 mm3. Voxel size is 0.54 x 0.54 x 2 µm3. Please click here to view this video. (Right-click to download.)
HREM is a highly robust microscopic method that is ideal for visualizing a broad spectrum of organic materials used in biomedicine and industry18,21,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40. It can be employed as an exclusive imaging modality, as currently used by the Mechanisms of Developmental Disorders (DMDD) program41,42,43,44, or as an integrative part of multimodal imaging pipelines45.
A fully functioning HREM data generation apparatus can be assembled from conventional laboratory components and comprises a motorized microtome, microscope, motorized cross table, and a computer with appropriate software25. It is critical to use a microtome equipped with a block holder that reproducibly stops after each section at a defined position and GFP filter cubes inside the optical pathway. However, fully functioning all-inclusive solutions can be purchased from companies such as Indigo Scientific.
HREM faces the same limitations as all histological techniques, except that no artifacts are introduced during sectioning or section mounting. However, there are limitations, which result from the necessity to stain specimens prior to sectioning and from the characteristics of the embedding material. Penetration of eosin through the entire specimen is required for obtaining sufficient tissue contrasts; very dense material, adipose tissues and anorganic substances effectively hinder eosin penetration and this results in unstained tissues in the center of the objects. Using special fixatives helps stain skin specimens, but there is still no proper method for fully overcoming the problem. Another limitation is that resins that block higher than 2 cm tend to break during sectioning. This can be partly avoided by cutting the specimens and processing parts separately.
Correct positioning of small samples or samples with irregular surfaces in the molds during embedding is often problematic. Covering the samples with agarose and processing the agarose blocks as described in the protocol usually resolves this issue19. An alternative approach, which also helps if blocks break during sectioning, is to remove the already hardened block from its holder and embed it anew, following the described embedding procedure.
A typical HREM data set comprises 500 to 3,000 single images. Its numerical resolution is determined by the distance between the successive images (i.e., by section thickness), the characteristic of the camera target, and the properties of the utilized optics. We used section thicknesses between 1 µm and 5 µm and achieved good results, although the presented protocols do not entirely eliminate shining from artifacts20,46. These artifacts are caused by intensely stained tissues located deep inside the block, resulting in blurring of tissue information on the block surfaces by.
The cameras had target dimensions of 2,560 x 1,920 pixels2, 2,048 x 2,048 pixels2, and 4,096 x 4,096 pixels2 and were combined with 1.25X, 2.5X, 5X, 10X, and 20X objective lenses. This resulted in numeric pixel sizes between 0.18 x 0.18 µm2 and 5.92 x 5.92 µm2, which proved to be sufficient for 3D analysis of tissue architecture and cell shapes, and even for visualizing nuclei. Given the high numeric resolution, other cell organelles should be visible as well. Insufficient contrasts due to simple eosin staining, and the optical properties of the objectives dramatically lower the possibility to discriminate structures. The maximal true spatial resolution of the HREM data, which takes into account the numeric aperture, is approximately 1 x 1 x 1 µm3, and therefore only permits effective discrimination of structures larger than approximately 3 x 3 x 3 µm3.
A common problem to all digital imaging techniques is the tradeoff between the size of the field of view, which defines the part of the specimen that can be displayed on the camera target, and the numeric resolution of the image. The larger the field of view, the lower the maximal possible numeric resolution46. The HREM setup used here permits the generation of HREM data with a field of view between 0.74 x 0.74 mm2 (20X objective) displayed in a numeric resolution of 0.18 x 0.18 µm2 and 12.12 x 12.12 mm2 (1.25X objective) displayed in a numeric resolution of 2.96 x 2.96 µm2. Alternative, commercialized set-ups can provide larger fields of views, but at the cost of true resolution. Nevertheless, they provide excellent results, as obvious from the data displayed on the homepage of the DMDD program47.
The authors have nothing to disclose.
The authors thank Tim Mohun for his invalubale contributions in developing HREM and Petra Heffeter for providing samples.
JB-4 Plus Embedding Kit | Polysciences Europe GmbH | 18570-1 | includes Benzoyl Peroxide, Plasticized (Catalyst) and Solution A+B |
Polyethylene Molding Cup Trays, 6x8x5mm hexagon (9 cavities) | Polysciences Europe GmbH | 17177A-3 | |
Polyethylene Molding Cup Trays, 13x19x5mm (9 cavities) | Polysciences Europe GmbH | 17177C-3 | |
JB-4 Plastic Block Holders | Polysciences Europe GmbH | 15899-50 | |
Eosin | Waldeck GmbH & Co. KG, Division Chroma | 1A-196 | |
Microtec CUT 4060E | rotary microtome | ||
Leica DM LM, fluorescence compound microscope | Leica Mikrosysteme Handelges.m.b.H | ||
GFP filter set | Leica Mikrosysteme Handelges.m.b.H | 11090937180000 | |
Motorised cross table | Walter Uhl, technische Mikroskopie GmbH & CO. KG | KT5-LSMA | |
Digital video camera SPOT-FLEX | Visitron Systems GmbH. | ||
precisExcite High-Power LED | Visitron Systems GmbH. | light source | |
VisiView 2.1.4 | Visitron Systems GmbH. | Image capturing software | |
Hard metal knife (tungsten carbide), profile D | Leica Mikrosysteme Handelges.m.b.H | ||
KL 2500 LCD | Schott AG | light source |