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A primary advantage of using ex vivo tissues is the ability to perform tests or measurements that would otherwise not be possible or ethical in living subjects. Tissues may be removed in many ways, including in part, as whole organs, or as larger organ systems. [citation needed] Examples of ex vivo specimen use include: [citation needed]
Live-cell imaging is the study of living cells using time-lapse microscopy. It is used by scientists to obtain a better understanding of biological function through the study of cellular dynamics. [1] Live-cell imaging was pioneered in the first decade of the 21st century.
This is known as live-cell imaging. A few tools have been developed to identify and analyze single cells during live-cell imaging. [2] [3] [4] Time-lapse microscopy is the method that extends live-cell imaging from a single observation in time to the observation of cellular dynamics over long periods of time.
In systems biology, live single-cell imaging is a live-cell imaging technique that combines traditional live-cell imaging and time-lapse microscopy techniques with automated cell tracking and feature extraction, drawing many techniques from high-content screening. It is used to study signalling dynamics and behaviour in populations of ...
Intravital microscopy is a form of microscopy that allows observing biological processes in live animals at a high resolution that makes distinguishing between individual cells of a tissue possible. [1] In mammals, in some experimental settings a surgical implantation of an imaging window is performed prior to intravital microscopy. This allows ...
Optical imaging, using light as an investigational tool for biological research and medical diagnosis; Optoacoustic imaging, using the photothermal effect, for the accuracy of spectroscopy with the depth resolution of ultrasound; Photoacoustic Imaging, a technique to detect vascular disease and cancer using non-ionizing laser pulses
Molecular imaging is a field of medical imaging that focuses on imaging molecules of medical interest within living patients. This is in contrast to conventional methods for obtaining molecular information from preserved tissue samples, such as histology .
Using AI, radiologists can use Imaging Informatics to ease their job and save time whilst analyzing images. A study published in "Current Medical Imaging" discovered that in CT imaging assisted by AI, the reading time to detect lung nodules and pleural effusions was reduced by more than 44% for radiologists. [18]