Protocol for high-resolution 3D visualization of insect regenerating legs through micro-computed tomography
Year: 2024
Type: article
Abstract: Appendage regeneration occurs within the opaque exoskeleton in arthropods, making it challenging to visualize the regenerative processes dynamically. In this protocol, we present a strategy to scan and capture the high-resolution details of microstructural tissues at certain regeneration points through micro-computed tomography (micro-CT). We describe steps for tissue preparation, fixation, critical point drying, micro-CT scanning, and 3D visualization. This approach promises significant utility in the field of regeneration, particularly in studies involving arthropods such as insects and crustaceans. For complete details on the use and execution of this protocol, please refer to Ren et al. 1 • Steps for collecting insect regenerating legs • Instructions for micro-CT sample pre-processing • Procedure to obtain the 3D structure of regenerating legs Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Appendage regeneration occurs within the opaque exoskeleton in arthropods, making it challenging to visualize the regenerative processes dynamically. In this protocol, we present a strategy to scan and capture the high-resolution details of microstructural tissues at certain regeneration points through micro-computed tomography (micro-CT). We describe steps for tissue preparation, fixation, critical point drying, micro-CT scanning, and 3D visualization. This approach promises significant utility in the field of regeneration, particularly in studies involving arthropods such as insects and crustaceans.
Source: STAR Protocols
Authors: Liang Li, Kai Cheng, Jiru Zhong, Shaojuan Zheng, Chenjing Zhao, Yejie Wen, Sheng Li, Chonghua Ren
Institutions: South China Normal University, Taiyuan Normal University
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,500
OpenAlex ID: W4402867303
