Post-acquisition image based compensation for thickness variation in microscopy section series
원문 초록
Serial section Microscopy is an established method for volumetric anatomy reconstruction. Section series imaged with Electron Microscopy are currently vital for the reconstruction of the synaptic connectivity of entire animal brains such as that of Drosophila melanogaster. The process of removing ultrathin layers from a solid block containing the specimen, however, is a fragile procedure and has limited precision with respect to section thickness. We have developed a method to estimate the relative z-position of each individual section as a function of signal change across the section series. First experiments show promising results on both serial section Transmission Electron Microscopy (ssTEM) data and Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) series. We made our solution available as Open Source plugins for the TrakEM2 software and the ImageJ distribution Fiji.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Pose Estimation for Intra-cardiac Echocardiography Catheter via AI-Based Anatomical Understanding
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
PSAT: Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning
SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model
SeqPE: Transformer with Sequential Position Encoding
토론
이 논문과 연결된 포럼 글이 아직 없습니다.