Comparison of Fine Structure of the Compound Eyes in Eucryptorrhynchus scrobiculatus and Eucryptorrhynchus brandti Adults

Hao, Yingying; Wang, Qi; Wen, Chao; Wen, Junbao

doi:10.3390/insects14080699

Cited by 5 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous methods measuring microscopic features have either imaged smaller volumes at higher resolution (e.g. Hao et al., 2023 ) or larger volumes at lower resolution (e.g. Currea et al., 2023 ).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Synchrotron‐source micro‐x‐ray computed tomography for examining butterfly eyes

Paukner,

Wildenberg,

Badalamente

et al. 2024

Ecology and Evolution

View full text Add to dashboard Cite

Comparative anatomy is an important tool for investigating evolutionary relationships among species, but the lack of scalable imaging tools and stains for rapidly mapping the microscale anatomies of related species poses a major impediment to using comparative anatomy approaches for identifying evolutionary adaptations. We describe a method using synchrotron source micro‐x‐ray computed tomography (syn‐μXCT) combined with machine learning algorithms for high‐throughput imaging of Lepidoptera (i.e., butterfly and moth) eyes. Our pipeline allows for imaging at rates of ~15 min/mm3 at 600 nm3 resolution. Image contrast is generated using standard electron microscopy labeling approaches (e.g., osmium tetroxide) that unbiasedly labels all cellular membranes in a species‐independent manner thus removing any barrier to imaging any species of interest. To demonstrate the power of the method, we analyzed the 3D morphologies of butterfly crystalline cones, a part of the visual system associated with acuity and sensitivity and found significant variation within six butterfly individuals. Despite this variation, a classic measure of optimization, the ratio of interommatidial angle to resolving power of ommatidia, largely agrees with early work on eye geometry across species. We show that this method can successfully be used to determine compound eye organization and crystalline cone morphology. Our novel pipeline provides for fast, scalable visualization and analysis of eye anatomies that can be applied to any arthropod species, enabling new questions about evolutionary adaptations of compound eyes and beyond.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Electron microscopy (EM) can provide the requisite resolution but is typically limited to scanned EM, (SEM) which visualizes external morphologies (Hao et al., 2023 ; Schwarz et al., 2011 ). A full 3D EM reconstruction using serial block face SEM, focused ion beam SEM, or transmission EM remains time‐ and computation‐intensive.…”

Section: Introductionmentioning

confidence: 99%

Synchrotron‐source micro‐x‐ray computed tomography for examining butterfly eyes

Paukner,

Wildenberg,

Badalamente

et al. 2024

Ecology and Evolution

View full text Add to dashboard Cite

show abstract

“…Previous methods measuring microscopic features have either imaged smaller volumes at higher resolution (e.g. Hao et al, 2023) or larger volumes at lower resolution (e.g. Currea et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Electron microscopy (EM) can provide the requisite resolution but is typically limited to scanned EM, (SEM) which visualizes external morphologies (Schwarz et al, 2011; Hao et al, 2023). A full 3D EM reconstruction using serial block face SEM, focused ion beam SEM, or transmission EM remains time- and computation-intensive.…”

Section: Introductionmentioning

confidence: 99%

Synchrotron-source micro-x-ray computed tomography for examining butterfly eyes

Paukner,

Wildenberg,

Badalamente

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract1. Comparative anatomy is an important tool for investigating evolutionary relationships amongst species, but the lack of scalable imaging tools and stains for rapidly mapping the microscale anatomies of related species poses a major impediment to using comparative anatomy approaches for identifying evolutionary adaptations.2. We describe a method using synchrotron source micro-x-ray computed tomography (syn-µXCT) combined with machine learning algorithms for high-throughput imaging of Lepidoptera (i.e.,butterfly and moth) eyes. Our pipeline allows for imaging at rates of ∼ 15 min/mm3at 600 nm3resolution. Image contrast is generated using standard electron microscopy labeling approaches (e.g., osmium tetroxide) that unbiasedly labels all cellular membranes in a species independent manner thus removing any barrier to imaging any species of interest.3. To demonstrate the power of the method, we analyzed the 3D morphologies of butterfly crystalline cones, a part of the visual system associated with acuity and sensitivity and found significant variation within six butterfly individuals. Despite this variation, a classic measure of optimization, the ratio of interommatidial angle to resolving power of ommatidia, largely agrees with early work on eye geometry across species.4. We show that this method can successfully be used to determine compound eye organization and crystalline cone morphology. Our novel pipeline provides for fast, scalable visualization and analysis of eye anatomies that can be applied to any arthropod species, enabling new questions about evolutionary adaptations of compound eyes and beyond.

show abstract