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Displaying posts in the category: Default

Image Analysis course with Fiji/ImageJ

Posted by , on 3 December 2023

We would like to invite you to an online course introducing you to the basics of image analysis, including automatic segmentation, colocalisation, denoising, 3D, etc. This course will start on February 5th, 2024. Sign-up and additional details here. What You’ll Learn This course consists of five 2.5-hour live interactive online sessions, where you’ll dive into

RMS Application Coaching and Personal Mentoring Scheme

Posted by , on 2 August 2023

The RMS Application Coaching and Personal Mentoring Scheme pilot was extended to a twice yearly call for applicants. We are accepting applications until the 31 August 2023 with the next round opening in January 2024. For more details and to apply as a Mentor, Mentee or both please visit this webpage: https://www.rms.org.uk/opportunities/mentoring-schemes.html

NEW Technical Specialist Job Shadowing Scheme!

Posted by , on 2 August 2023

The Technical Specialist Job Shadowing Scheme is a brand new initiative supported by the RMS, Technician Commitment and Technical Specialist Network that is designed to provide scientists on an academic track with an opportunity to visit a UK imaging or flow core facility for up to 5 days. Applications close on 31 August. To find

ASCB Subgroup: Deep Learning and Artificial Intelligence in Cell Imaging

Posted by , on 17 July 2023

The deep learning revolution in bioimage analysis over the past ~5 years has been nothing short of awe-inspiring; in just a few short years we’ve gone from having very few deep learning tools usable on light microscopy images to new approaches coming out weekly and routinely outperforming older classical approaches. We can now use deep

"Beyond pretty pictures" subgroup at Cell Bio 2023

Posted by , on 6 July 2023

The traditional approach of learning cell biology simply by looking at microscopy images is becoming harder and is sometimes even not possible with the growing complexity, volume and dimensionality of modern microscopy imaging data. Data science, a field that combines techniques from machine learning, statistics and other computer science fields to extract meaning from unstructured

FocalPlane image competition 2023

Posted by , on 15 May 2023

We are celebrating our upcoming third birthday by launching our 2023 image competition! We’d love to take this opportunity brighten up our homepage and add to our spectacular image gallery. Submit your favourite images acquired using any microscopy modality. All the images submitted will be featured on FocalPlane. The shortlisted image with the most votes

6th QUAREP-LiMi General Online Meeting at the 26th of April

Posted by , on 12 April 2023

If you want to know everything about QUAREP-LiMi, join our 6th general meeting on April 26th from 3 to 6 pm in an online format. Everybody interested in light microscopy and related image analysis topics can register at https://lnkd.in/ezjZpTxb. For more information on the content of the meeting, see the agenda at https://lnkd.in/ebub6bMK.

GerBI team forYoung Microscopists And Image Analysts (YMIA)

Posted by , on 30 March 2023

Dear young researchers, on behalf of the recently established team Young Microscopists and Image analysts (YMIA) under the The German Society for Microscopy and Image Analysis (BioImaging-Gesellschaft für Mikroskopie und Bildanalyse e.V. GerBI-GMB), we would like to cordially invite all interested actively working and aspiring microscopists and image analysts for the YMIA general meeting on the

Enter CoolLED’s ‘Image in an Image’ competition

Posted by , on 10 February 2023

CoolLED is running its fantastic ‘Image in an Image’ competition again this year, and it has recently opened for entries.

Scottish Microscopy Society’s ‘Christmas Cracker’ winner

Posted by , on 18 January 2023

Congratulations to Jamie Whitelaw, winner of the Christmas Cracker category in the Scottish Microscopy Society’s image competition. FocalPlane were delighted to sponsor this festive category, and we asked Jamie about the story behind his stunning image.