German China

Imaging Software Microscopy Image Analysis with Deep-Learning Technology

Editor: Doris Popp

Leveraging the power of deep learning, Olympus Cellsens imaging software for microscopy offers significantly improved segmentation analysis, such as label-free nucleus detection and cell counting, for more accurate data and efficient experiments.

Related Vendor

Olympus cellSens imaging software
Olympus cellSens imaging software
(Source: Olympus)

Image analysis is a critical part of many life science applications. Analyses that rely on segmentation to extract targets, such as cells and organelles, from the rest of the image are commonplace. However, conventional thresholding methods that depend on brightness and color can miss critical information or may not be able to detect the targets at all. Cellsens software’s deep-learning technology enables users to quickly train the system to automatically capture this information, improving the speed and accuracy of label-free object detection, quantitative analysis of fluorescent-labeled cells and segmentation based on morphological features.

Subscribe to the newsletter now

Don't Miss out on Our Best Content

By clicking on „Subscribe to Newsletter“ I agree to the processing and use of my data according to the consent form (please expand for details) and accept the Terms of Use. For more information, please see our Privacy Policy.

Unfold for details of your consent

(ID:46664721)