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Displaying posts in the category: Default

STED User Group (BINA/Canada BioImaging), December 12, 12pm EST

Posted by , on 2 December 2024

The next installment of the BioImaging North America and Canada BioImaging STED user group will take place via Zoom on December 12 at 12 pm EST. Pina Colarusso will deliver the presentation, “Implementing Super Resolution in Core Facilities: Challenges and Opportunities”, followed by group discussion of this important topic. This user group is targeted at STED users of

Can RNA Be a Master Architect?

Posted by , on 29 October 2024

How often do we think of RNA as a mere messenger, shuttling genetic instructions between DNA and proteins, rather than the master architect in the construction of cellular structures? While most are familiar with RNA’s role in transcription and translation, the idea that RNA molecules, particularly long ones, could be responsible for organizing intricate, membrane-less

When Microtubules Lose Their Grip: The Curious Case of CKAP5 and Chromosomal Chaos

Posted by , on 28 October 2024

Have you ever wondered what happens when cells lose control over their microtubule machinery during mitosis? This cellular machinery, when functioning properly, ensures that chromosomes are correctly segregated, preventing aneuploidy and mitotic catastrophe. However, when a protein called CKAP5, which plays a major role in maintaining the stability of microtubule attachments to kinetochores, is knocked

STED User Group (BINA/Canada BioImaging), October 10, 12pm EST

Posted by , on 3 October 2024

The next installment of the BioImaging North America and Canada BioImaging STED user group will take place via Zoom on October 10 at 12 pm EST. Andréanne Deschênes (Université Laval) will deliver a presentation, “Multicolor STED Nanoscopy”, followed by group discussion on topics of community interest. This user group is targeted at users of all experience levels, and

Image Analysis course with Fiji/ImageJ

Posted by , on 18 September 2024

Online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc.

STED User Group (BINA/Canada BioImaging)

Posted by , on 25 July 2024

The next installment of the BioImaging North America and Canada BioImaging STED user group will take place via Zoom on August 8 at 12 pm EST. This user group is targeted at users of all experience levels, and aims to give all members of the community a chance to share technical know-how by facilitating open discussion. Interested participants

STED User Group (New Meeting, BINA/Canada BioImaging)

Posted by , on 3 June 2024

BioImaging North America and Canada BioImaging are organizing a new STED user group. The first meeting will take place via Zoom on June 13 at 12 pm EST. This user group is targeted at users of all experience levels, and aims to give all members of the community a chance to share technical know-how by facilitating open discussion.

The Revenge of Image.sc LIVE! around the world - the live bioimage analysis helpdesk is returning to a time zone near you!

Posted by , on 25 March 2024

Community surveys often point to the biggest bottleneck in excellent bioimaging science being image analysis. That’s why the RMS DAIM committee and their friends across the world are putting on another event to highlight the fantastic image.sc forum. All the info you need is here: Image.sc LIVE around the world! – Announcements – Image.sc Forum and in the poster

Image Analysis course with Fiji/ImageJ

Posted by , on 20 March 2024

An online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc. Two sessions, happening in May and June 2024.

Will your algorithm be the best for this new image data challenge?

Posted by , on 26 February 2024

In order to answer image data analysis demands, France-BioImaging is launching its first data machine learning competition: welcome to the Light My Cells challenge! The Light My Cells challenge aims at contributing to the development of new image-to-image ‘deep-label’ methods in the fields of biology and microscopy. Basically, the goal is to predict the best-focused output-images of several organelles