Integrative and Comparative Biology Advance Access originally published online on February 16, 2006
Integrative and Comparative Biology 2006 46(2):207-214; doi:10.1093/icb/icj015
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Novel methodology utilizing confocal laser scanning microscopy for systematic analysis in arthropods (Insecta)
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*Microscopy and Imaging Facility, American Museum of Natural History Central Park West at 79th Street, New York, NY 10024-5192, USA
Division of Invertebrate Zoology, American Museum of Natural History Central Park West at 79th Street, New York, NY 10024-5192, USA
Department of Natural Sciences, Baruch College 1 Bernard Baruch Way, Box A-0506, New York, NY 10010-5585, USA
Correspondence: 1E-mail: avklaus{at}amnh.org
| Synopsis |
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The use of confocal laser scanning microscopy (CLSM) for imaging arthropod structures has the potential to profoundly impact the systematics of this group. Three-dimensional visualization of CLSM data provides high-fidelity, detailed images of minuscule structures unobtainable by traditional methods (for example, hand illustration, bright-field light microscopy, scanning electron microscopy). A CLSM data set consists of a stack of 2-D images ("optical slices") collected from a transparent, fluorescent specimen of suitable thickness. Small arthropod structures are particularly well suited for CLSM imaging owing to the autofluorescent nature of their tissues. Here, we document the practical aspects of a methodology developed for obtaining image stacks via CLSM from autofluorescent insect cuticular structures.
| Introduction |
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The first confocal laser scanning microscopes became commercially available in 1987 (for a review, see Amos and White 2003
CLSM mainly relies on signals from fluorescent molecules. Confocal imaging using a reflected light signal is also possible, but the technique is not as commonly used for biological purposes and is beyond the scope of this article (for a review, see Paddock 2002
). Fluorescence CLSM is integral to research in cell biology, developmental biology, and neuroscience, where the technique is used to visualize molecules or structures within cells or tissues. In typical biological CLSM applications, structures are labeled with fluorescent dyes using a number of well-developed techniques, including immunofluorescence labeling, microinjection, and expression of proteins of interest bound to natural fluorescent reporter molecules such as green fluorescent protein (for an overview of these techniques, see Paddock 1999
).
Rather than relying on labeling with exogenous dyes, the approach described in the current study takes advantage of the natural endogenous fluorescence (autofluorescence) exhibited by the arthropod cuticle. The exact chemical source of this fluorescence is unknown; however, a number of components isolated from insect cuticles including pteridines (Lardeux and others 2000
) and the protein resilin (Neff and others 2000
) have autofluorescent properties. Few studies have exploited the autofluorescent property of the cuticle material for systematics analysis. Morphologists require detailed and highly resolved representations of diagnostic structures to assist in identifying potential characteristics, to facilitate hypotheses of homology, and to accurately communicate these structures to other scientists. Galassi (1997a
, 1997b)
and Galassi and colleagues (1998)
documented structural characters of copepod integumental structures using CLSM for taxonomic diagnosis. These were the first papers to use confocal imaging in arthropod systematics; however, other examples have been lacking in the literature. We have found CLSM to be useful in documenting minuscule insect structures (Klaus and others 2003
; Schawaroch and others 2005
). The approach we describe in the current work is novel in that it provides a strategy for data collection that allows for advanced 3-D visualization of structures. We describe the mounting and imaging procedures necessary to minimize aberration artifacts inherent in confocal imaging of thick specimens and show that optical sectioning by CLSM of cuticular structures from several different insect species produces 3-D renderings of great clarity and accuracy.
| Methods |
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Specimens
The Drosophila melanogaster specimen used was from a culture obtained from Carolina Biological Supply Company. All other insect specimens used were field-collected at the following localities: a mosquito, Culex tarsalis, from California, USA; drosophilid flies, Cladochaeta inversa, from Houghton County, Michigan, USA; Drosophila melanica from Black Rock Forest, Cornwall, New York, USA; a cockroach, Lauraesilpha heteroclita, from New Caledonia; and a new plant bug species (Family: Miridae) from Utah, USA. Specimens were preserved by air-drying, immersion in 70% ethanol, or critical-point-drying following ethanol fixation. We observed no differences in autofluorescence based on the method of tissue preservation.
Specimen mounting
As with standard bright-field light microscopy, CLSM requires that specimens be imaged through a coverslip. However, because confocal imaging is a 3-D technique, specimens are mounted in such a way as to avoid deformation (compression or crushing) of the structures of interest, usually through the use of spacers. The structures imaged in this study were prepared by mounting between 2 coverslips in either glycerin jelly (nonpermanent) or euparal (permanent) medium. Mosquito (Cx. tarsalis) gonocoxites were mounted directly between the coverslips because of their flattened nature; structures from other flies (D. melanogaster, D. melanica, C. inversa), from the Miridae species (plant bug), and from L. heteroclita were mounted using coverslip spacers of known thickness in order to avoid compression. The mounting procedure is shown in Figure 1B.
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Specimens were mounted between 2 coverslips, rather than on a glass slide using 1 coverslip, so that structures could be imaged from both sides by flipping the mount (Fig. 1C). This step is necessary in order to compensate for data loss from the side of the specimen farther away from the sources of illumination and detection (see Fig. 3, discussed later). Because increasing specimen thickness exacerbates aberrations in the optical setup (de Grauw and others 2002
Confocal imaging and 3-D reconstruction
All specimens in this study were imaged on a Zeiss 510 confocal microscope equipped with a Zeiss Axiovert 100M inverted microscope. Three-dimensional visualization of structures was carried out using the 3-D projection module in the freeware version of the Zeiss LSM Image Browser software (for maximum-intensity projections, MIPs). The "keep maximum" tool was used, which combines MIP with limited alpha-blending functions. The Surpass module in the commercial software package Imaris (Bitplane Inc., Saint Paul, MN) was used for pure alpha-blended volume rendering and for surface reconstruction.
| Results and discussion |
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The principle of confocal imaging is shown in Figure 1A. As mentioned earlier, the optical sectioning capability of CLSM is derived from the placement of the confocal pinhole in front of the photomultiplier tube. Optical slices are collected from successive focal planes by moving the specimen (or the objective lens) in the z, or axial, dimension. Figure 1C depicts the imaging strategy used for thick arthropod structures ("thick" in confocal imaging generally refers to specimens spanning >10 µm in the axial dimension). A confocal data set was collected from the first side of the specimen, the sample mount was flipped, and another data set was collected from the opposite side. This strategy was used in order to address the problem of data loss artifacts in data sets collected from thick specimens.
Figure 2AD shows selected optical sections extracted from a CLSM data set obtained from the phallic structures (including the aedeagus, hypandrium, and paraphyses) of D. melanogaster. The apparent imaging depth is noted on each image. The confocal optical section images are composed of the signal detected only from the plane of focus for each imaging depth. For comparison purposes, a bright-field image is shown in Figure 2E. This image is nonconfocal; therefore, light from nonfocal planes contributes to out-of-focus blur in the image. Figure 2F and G shows MIPs created from 2 separate CLSM data sets collected from opposite sides of the specimen mount (rendered using the Zeiss Image Browser software, see Methods). The image shown in Figure 2H is a reconstruction of a subset of optical slices that allows for the visualization of internal structures (that is, the aedeagus and aedeagal apodeme juncture, indicated by the arrowhead and the arrow, respectively).
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Aberration artifacts in CLSM data sets
Aberration artifacts are difficult to avoid when imaging thick specimens by CLSM. The most commonly encountered aberrations are (1) data loss from the side of the specimen farther away from the sources of illumination and detection and (2) axial distortion (compression or elongation) of the 3-D data set. These artifacts are usually the result of increasing penetration depth and spherical aberration introduced into the imaging setup by refractive index (RI) mismatch, respectively (Diaspro and others 2002
The reduction of artifacts present in 3-D data sets collected from thick specimens was addressed in the current work in 2 ways. First, as described earlier, in order to address data loss artifacts arising from increasing penetration depth, specimens were imaged from both sides by flipping the sample mount (Fig. 1C) and slides were made as thin as possible by using minimal amounts of mounting media. Second, in order to reduce RI mismatch, specimens were imaged (whenever possible) using an oil immersion objective lens rather than a dry objective lens. These concepts are illustrated in Figures 3 and 4. Figure 3A and B shows volume renderings of 2 different data sets collected from the gonocoxite of Cx. tarsalis using a 20x dry objective (numerical aperture = 0.75). The same structure, shown in Figure 3C and D, was imaged using a 40x oil immersion lens (numerical aperture = 1.3). In Figure 3A and C, the side of the specimen depicted in the reconstruction was facing toward the sources of illumination and detection during imaging, whereas in Figure 3B and D, this side of the specimen was facing away. A comparison of Figure 3A and B shows significant data loss in Figure 3B (very noticeable in the region indicated by the arrow). The same situation exists between the images shown in Figure 3C and D (collected with a 40x oil immersion lens); however, the loss is not as severe. This is due to the greater RI mismatch between the mounting medium and the lens immersion medium within the optical setup when using a dry versus an oil objective lens. This specimen was mounted in euparal medium with an RI of
1.52. The RI of the oil used for the 40x objective was 1.51; therefore the RIs were very closely matched when using the oil immersion lens. However, when a dry lens was used, the RI of the immersion medium was 1.00 for air, causing a large RI mismatch.
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Note that the data collected with the 40x oil lens have much better lateral resolution than those collected with the 20x lens as a result of the higher numerical aperture (1.3 versus 0.75 for 40x and 20x objectives, respectively).
Axial distortion is the other aberration artifact of concern when imaging thick specimens by CLSM and is mainly caused by RI mismatch. The Cx. tarsalis gonocoxite is used to demonstrate this concept in Figure 4. Figure 4A and B shows surface reconstructions of a gonocoxite data set obtained with a 20x dry objective lens. Figure 4A is a top-down view, and Figure 4B is a side view. The lower panel shows the same structure imaged with a 40x oil immersion lens. Note the severe compression of the entire gonocoxite when reconstructed from the 20x data set (where the RI is grossly mismatched) compared with the reconstruction from the 40x data set.
The arrow in Figure 4B indicates another form of axial distortion, that is, apparent axial elongation of small structures. This distortion is a result of extraneous signal produced above and below small structures (
13 µm) when imaging with a dry objective lens (Carlsson 1991
). In this example, hairs projecting from the gonocoxite have a knifelike appearance in the axial direction.
Data visualization
We routinely employ 3 different 3-D visualization techniques for analyzing CLSM data sets: (1) MIP with limited alpha-blending, (2) volume rendering using pure alpha-blending, and (3) isosurface reconstruction. Each technique has its own advantages for visualizing 3-D data sets. MIP is very useful because it is rapid, simple, and is not computing intensive. In addition, freeware software packages (see Methods) are available with very good MIP utilities so that publication-quality data visualizations can be carried out inexpensively. MIP images, however, provide satisfactory visualizations of CLSM data sets rendered from only a limited number of viewing angles (Schreiner and others 1996
; Schroeder and others 1998
). More advanced volume rendering (for example, pure alpha blending) and surface reconstruction methods provide true 3-D information about a specimen. In addition, more advanced (and generally more expensive) software packages allow for viewing from all angles using interactive rotation. We have found that for the documentation of gross morphological structures, MIP with alpha-blending is adequate for most studies. Other volume rendering and surface reconstruction methods, however, allow for better visualization of internal and/or surface structures (Klaus and others 2003
). Figures 2 and 5 show examples of MIP (with blending) images created using the freeware version of the Zeiss LSM Image Browser. Other volume rendered images (pure alpha-blending) and surface reconstructions created using Imaris are shown in Figures 3 and 4, respectively.
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Other species visualized with CLSM
The MIPs of the structures shown in Figure 5 are highly detailed renderings and provide visualizations of exquisite external microsculpture. Figure 5AC depicts male genitalic structures, which are important for species diagnoses and phylogenetic analyses because of their complexity and role in speciation (Eberhard 1985
One of the 6 cockroach gizzard "teeth" is depicted in Figure 5D. This structure was imaged as part of a larger morphological analysis of this species. The utility of confocal imaging over scanning electron microscopy was being tested because of the nondestructive nature of the CLSM mounting procedure in nonpermanent medium (glycerin jelly).
| Conclusions |
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The confocal microscope provides advantages over other documentation methods (for example, hand illustration, bright-field micrography, and scanning electron microscopy) traditionally used for arthropod systematics (Schawaroch and others 2005
We believe this technique will be an invaluable addition to arthropod systematic investigations by way of taxonomic diagnoses, character identification, and refinement of homology statements. In this article, we have demonstrated the applicability of this CLSM imaging technique to various insects; however, it is also applicable to small arthropods, as demonstrated for copepods (Galassi 1997a
, 1997b
; Galassi and others 1998
), ostracodes (unpublished data, V.S.), and scorpion structures (personal communication, E. Volschenk). We are hopeful that, in the future, CLSM will be incorporated into studies of all minuscule arthropods and substructures of larger organisms.
| Acknowledgements |
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The authors gratefully acknowledge 3 anonymous referees for very helpful comments and suggestions. We also thank Varuni Kulasekera [Invertebrate Zoology, American Museum of Natural History (AMNH)] for the Cx. tarsalis specimen, Christiane Weirauch and Denise Wyniger (Invertebrate Zoology, AMNH) for the Miridae specimen image, Jerome Murienne (Museum National d'Histoire Naturelle, Paris) for the L. heteroclita image, David Grimaldi (Invertebrate Zoology, AMNH) for the C. inversa specimen, and Craig Gibbs (Invertebrate Zoology, AMNH) for collecting the D. melanica specimen. We also thank Erich Volschenk (invertebrate Zoology, AMNH) for access to unpublished data. We sincerely appreciate the outstanding software assistance and support of Jacob Mey (Microscopy and Imaging, AMNH) and Kevin Frischmann (Bitplane AG, Switzerland) in building and optimizing the data visualization computers. V.S. would like to gratefully acknowledge research support provided by National Science Foundation DEB grant #0075360 and PSC-CUNY grant #60052-34-35, as well as the Weissman School of Arts and Sciences of Baruch College, which provided release time for this work.
| Footnotes |
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From the symposium "The New Microscopy: Toward a Phylogenetic Synthesis" presented at the annual meeting of the Society for Integrative and Comparative Biology, January 48, 2005, at San Diego, California.
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