CoLocalizer 4+

Analyze colocalization

VADYM ZINCHUK

    • Free
    • Offers In-App Purchases

iPad Screenshots

Description

Machine Learning-powered quantitative colocalization analysis of fluorescence images on iPad

The new CoLocalizer 2 ML Super Resolution feature is amazing, be sure to check it out!

CoLocalizer brings your microscopy experiments to a tablet computer. It takes advantage of artificial intelligence by restoring images to super-resolution before applying background noise reduction and colocalization calculation analytical tools. And, it's designed specifically for iPad, bringing the native and intuitive user experience.

GROUNDBREAKING ARTIFICIAL INTELLIGENCE
• Enhance images by preserving and enhancing details and transform them to super-resolution in the most cost-efficient way possible.
• Reduce image background noise with the accuracy of the machine learning model over 99%.

TOOLS
ROI Selection
Employ versatile selection tools for delimiting the area of user’s interest to contextualize colocalization analysis. Quantifies colocalization in the selected specific area without analyzing the whole image.

Background Correction
Reduce noise in images using the procedure called background correction.

Quantification
Estimate colocalization by calculating the values of specialized coefficients. Allows viewing of colocalized pixels at their genuine locations in the image.

EXPORT
Export images and coefficients data for saving and sharing.

FEATURES
Compatibility
• Open and save images in the most popular file formats, such as JPEG, PNG, TIFF.
• Open and save images in proprietary file formats, such as LSM.
• Access and store images in iCloud Drive.

iCloud Support
• Analyze and keep your images up-to-date on all your devices thanks to iCloud support.
• Store images in iCloud Drive and access them anywhere, even on a PC.
• Start analyzing on your iPad and continue right where you left off on your Mac and vice versa thanks to Handoff.

Designed for iPadOS
• Multitask using Slide Over and Split View.
• Experience desktop-class image analyzing performance thanks to 64-bit architecture, ARC, Core Image, Core Graphics, and Core Animation.
• Enjoy support for Dark Mode.

Sample Images
Download sample images and test CoLocalizer functionality for free.

LICENSING
To analyze colocalization in custom images, users need to buy a subscription via the in-app purchasing feature.

Subscriptions are 1-Month, 6-Month, and 12-Month in length and cost USD99, USD149, and USD199, respectively, in the US. Prices can vary by country. Payment will be charged to your iTunes Account at confirmation of purchase. Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period. The account will be charged for renewal within 24-hours before the end of the current period. Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user's Account Settings after purchase.

To buy a subscription, open the image. In the navigation bar, tap the Settings icon and then tap Purchase Subscription. Choose the subscription according to the desired length. Subscription length can be changed after purchase and will come in effect after the current one expires.

Privacy Policy: https://www.colocalizer.com/privacy/ Terms of Use: https://www.colocalizer.com/terms/

Free CoLocalizer for iPad User Guide eBook: https://geo.itunes.apple.com/book/colocalizer-for-ipad/id1259842440?mt=11

CoLocalizer Pro for Mac: https://www.colocalizer.com/mac/

What’s New

Version 2.0.2

• Improved animation when opening images on Background Correction and Colocalization screens.
• Tweaked zoom animation when opening images from File Browser.

App Privacy

The developer, VADYM ZINCHUK, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data
  • Diagnostics

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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