Imaging
CLS™ high-content screening systems can run a wide-variety of assays in a live-cell format. When used with automation, both systems enable high throughput live-cell assays and can be configured with the integrated environmental control chamber and spinning disk optical technology to minimise photobleaching and phototoxicity of samples. Additionally, these systems enable gentle live-cell analysis (ie, without using a fluorescent probe) by using the digital-phase contrast imaging mode and brightfield imaging function (Figure 4).
Figure 2
Etaluma offers manual as well as automated microscopes.
Pictured are the LS720 (above) and LS560 (right) microscopes
Sartorius Corporation – accessible automated image acquisition and analysis The Sartorius IncuCyte® is a live-cell analysis sys- tem that sits inside standard tissue culture incuba- tors and automatically analyses cells for extended periods. The cells stay stationary during image acquisition and are not shuttled between instru- ment and incubator, minimising disruption. The system has also been designed to make it accessible for even first-time users by automating as many of the decision points as possible. The images are organised alongside experimental details and real- time data analysis is provided by a guided user interface tailored for different experimental paradigms (Figure 5).
Picturing the future of live-cell imaging The role of live-cell imaging is likely to grow across drug discovery and development. Enhanced data capture and analysis features will improve the accessibility of the technique, allowing researchers to keep pace with the ever-growing need for more physiologically-relevant and complex models of disease. This will likely lead to the generation of better statistically-relevant and reproducible results compared to traditional endpoint measurements. Moreover, as a quicker and easier alternative to
endpoint experiments, kinetic (time-based) data such as that generated from live-cell imaging is pre- dicted to become increasingly vital in drug discov- ery. This type of data enables a better understand- ing of cell behaviour as a result of different stress factors, meaning that a wider variation of cell types can be studied, including minor and less frequent effects as well as long-term effects. Time-lapse microscopy such as that used in live-
cell imaging could also help improve the efficiency and speed in which hit compounds can be identi- fied, by applying the technique to large compound screens in primary high-throughput screening. As technologies such as CRISPR, CAR-T and
other immuno-oncology techniques continue to expand the biology that can be measured in cells, it
24 Drug Discovery World Fall 2019
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