Видео

This tutorial video shows how to segment subcutaneous and visceral fat. The example data set is a CT scan of a mouse. First, HU calibration is performed. Then the mouse body is segmented. Macros can be used to automatically segment bones, lungs and adipose tissue. Visceral fat needs to be segmented manually. Finally, you can clean up the image data set and view the abdominal fat.

This video describes how to analyze and quantify multispectral images using the MILabs Vector system. First, the segmentation of 5 tubes containing break-light fluid (yellow, pink, and turquoise) is explained. Then, the extraction of the spectra and the spectral unmixing and finally the quantification are shown.

This video explains how to analyze and quantify multispectral images using the image analysis software Imalytics Preclinical. The data set shows 5 wells with different amounts of substance A and B in 4 different channels. The video describes how to generate regions and extract the spectra. Then, the quantification of each well and the spectral unmixing. Finally, a correlation between A and B is...

This video shows a T2-weighted MRI scan of a mouse with liver tumors. The video describes the segmentation of the kindeys, the spleen, the liver, and three liver tumors using the scribble tool and the intensities as well as the draw segmentation tool.

This video describes how bone defects, such as a removed piece of bone (CT), are analysed using the Imalytics Preclinical software. The data set shows a rat hip before and after surgery and the segmentation of the removed bone. More information on statistical analysis and 3D printing of the bone is provided.

This video shows the µCT scan of a fetuin-a deficient mouse with many calcifications. You will learn how to analyze this scan, perform some statistical analysis, and get the number of calcifications. Additionally, you can further categorize the calcifications by size, for example.

This video shows how to segment blood vessels and atherosclerotic plaques on a data set obtained with microCT and a blood pool contrast agent.

This tutorial video explains the most important functions of the context menu such as the morphologic operations and threshold functions.

This video explains the interactive windowing mouse mode. It can be applied on the underlay (in this video a CT) and on the overlay (a PET scan). Pre-selected windowing settings for the lungs, bones, and soft tissue are explained. By adjusting the center position and the width in the windowing dialog, the intensity histogram is changed. Furthermore, the color table can be selected.

This tutorial video explains how to change the segmentation of your mouse brain atlas.

This video shows how to create images (screenshots) and movies using the Imalytics Preclinical software.

This tutorial video explains how to enable transparent rendering in the 2D slice views and the 3D rendering. With the advanced rendering settings, you can set a global transparency factor for the different layers.

This is an explanatory video for the preclinical image analysis software; "Imalytics Preclinical" (Gremse-IT GmbH). This easy-to-use software makes complex data processing a hassle-free process, increasing your reserach team's efficiency, and delivering consistent, reproducible results. You can easily accelerate your preclinical image analysis.

This video shows a PET-CT scan of a mouse with atherosclerosis in the aortic arch and the descending aorta. In this video, you can learn how to segment the descending aorta, aortic arch, and the liver (background) using the create region mouse mode. It also shows how to convert voxel intensities to SUV and how to use class statistics to inspect PET signals.

Tutorial video (CT): "Mouse knee"

Phantech & Imalytics Preclinical: "BioMouse™"

Phantech & Imalytics Preclinical: "Partial volume correction (PVC) phantom"

Phantech & Imalytics Preclinical: "Derenzo phantom"

Tutorial video (CT): "Lung fibrosis quantification"

Tutorial video (Python): "Rotate Video 3D"

Tutorial video (PET/SPECT): "PET CT dynamic"

Tutorial video (Python): "4 CT PET Crop"

Tutorial video (MRI): "Relaxometry PDFF"

Tutorial video (MRI): "MRI rat tumor T2"

Tutorial video (Ultrasound): "US cineloop tumor"

Tutorial video (Python): "Median thresholding"

Tutorial video (CT): "Walnut"

Tutorial video (Python): "Slice Video 2D"

Mouse mode: "Interactive thresholding"