Fast4DRegistration|显微镜图像处理数据集|数据校正数据集

Fast4DReg: Fast registration of 4D microscopy datasets Pylvänäinen J.W et al, 2023 Fast4DReg is a Fiji macro for drift correction in 3D video and is able to correct drift in all x-, y- and/or z-directions. Fast4DReg creates intensity projections along both axes and estimates their drift based on cross-correlation, and then translates the 3D video frame by frame. Additionally, Fast4DReg can be used for aligning multichannel 3D images which is particularly useful for instruments that suffer from a misalignment of channels. GitHub repository: https://github.com/guijacquemet/Fast4DReg Datasets are available in Zenodo: 1 Software archive 1.1 Fast4DReg scripts (5) 1.2 Helper scripts (2) 1.3 Documentation from GitHub 2 Dataset 1: Synthetic drift -datasets 2.1 Synthetic drift files (2) 2.2 Expected results (3) 3 Dataset 2: Noisy images -dataset 3.1 Noisy dataset files (12) 3.2 Average corrected apply output (12) 3.4 Maximum corrected apply output (12) 4 Dataset 3: HUVEC monolayer -dataset 4.1 HUVEC -dataset channel 1 original 4.2 Biological dataset HUVEC channel 1 Fast4DReg 4.3 Biological dataset HUVEC channel 1 C3DD 5 Dataset 4: Mouse lung slice -dataset 5.1 Mouse lung slice original 5.2 Mouse lung slice Fast4DReg 6 Dataset 5: Calibration slide -dataset 6.1 Calibration slide -dataset original 6.2 Calibration slide -dataset Fast4DReg 7 Dataset 6: Filopodia-dataset -dataset 7.1 Filopodia-dataset original 7.2 Filopodia-dataset Fast4DReg 8 Dataset 7: DCIS.com Filopodia -dataset 8.1 DCIS.com Filopodia -dataset original 8.2 DCIS.com Filopodia -dataset Fast4DReg 7 Videos 7.1 Video 1 7.2 Video 2 7.3 Video 3 7.4 Video 4 7.5 Video 5