Adult T1 Leg (Kuan2020) [VFB_00120000]

The adult Drosophila melanogaster (fruit fly) leg was used as a sample to study neural circuits at the nanoscale level. The fruit fly leg has five segments that contain various types of neurons responsible for sensing and controlling movement. To image and reconstruct the leg’s neural circuits at nanoscale resolution, X-ray holographic nano-tomography was used. This technique involves imaging the leg from multiple angles using a high-resolution X-ray microscope, followed by using computational algorithms to reconstruct the 3D structure of the leg’s neural circuits. As a result, individual neurons and their connections within the leg were visualized and analyzed.

Open Adult T1 Leg (Kuan2020) in VFB

Term Information

  • ID: VFB_00120000
  • Name: Adult T1 Leg (Kuan2020)
  • Definition: The adult Drosophila melanogaster (fruit fly) leg was used as a sample to study neural circuits at the nanoscale level. The fruit fly leg has five segments that contain various types of neurons responsible for sensing and controlling movement. To image and reconstruct the leg’s neural circuits at nanoscale resolution, X-ray holographic nano-tomography was used. This technique involves imaging the leg from multiple angles using a high-resolution X-ray microscope, followed by using computational algorithms to reconstruct the 3D structure of the leg’s neural circuits. As a result, individual neurons and their connections within the leg were visualized and analyzed.
  • Synonyms:
  • Type:
  • Comment:

VFB Term Json

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            "The adult Drosophila melanogaster (fruit fly) leg was used as a sample to study neural circuits at the nanoscale level. The fruit fly leg has five segments that contain various types of neurons responsible for sensing and controlling movement. To image and reconstruct the leg's neural circuits at nanoscale resolution, X-ray holographic nano-tomography was used. This technique involves imaging the leg from multiple angles using a high-resolution X-ray microscope, followed by using computational algorithms to reconstruct the 3D structure of the leg's neural circuits. As a result, individual neurons and their connections within the leg were visualized and analyzed."
        ],
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