An Introduction to Computational Clearing

Felts, Levi; Kohli, Vikram; Marr, James M.; Schumacher, Jan; Schlicker, Oliver

October 01, 2020

An Introduction to Computational Clearing

A new method to remove out-of-focus blur

Commonly in widefield (WF) microscopy, the imaging of objects in the object plane result in captured images that are compounded by image haze (referred to as background noise). The presence of background noise in an image obscures structural features from being resolved. Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise from WF images are rolling ball and sliding paraboloid. Recently, Leica Microsystems introduced their own background subtraction method called Instant Computational Clearing (ICC), which is present in all Leica THUNDER WF imaging platforms.

Download the full Technical Brief

Interested to know more about how Instant Computational Clearing technology works? Please fill in the form below to receive the full Technical Brief.

Download PDF

First Name *

Last Name *

Email *

Phone *

Company/Institution *

Position *

Zip *

Country/Region *

I am interested in receiving information about products and services, virtual and in-person events such as workshops and webinars and educational content from Leica Microsystems GmbH, their representatives and other Danaher companies.
I understand that I may be contacted by phone or email and consent to such communication. *

Yes

No

By clicking on the SUBMIT button, I confirm that I have reviewed and agree with Leica Microsystems GmbH Terms of Use and their Privacy Policy. I also understand my privacy choices as they pertain to my personal data, as detailed in the aforementioned Privacy Policy under ‘’Your Privacy Choices’’.