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Displaying posts in the category: Default

Microscopy Meets Medicine: Spirulina-Derived Nanoparticles Take Aim at Cancer

Posted by , on 14 April 2025

This article from the International Journal of Nanomedicine presents a promising new biomimetic strategy that makes use of natural resources as an alternative in cancer therapy. The Researchers have created Spirulina-derived Nanoparticles (sNPs) using a solvent-free process and with the aid of centrifugation and sonication technique. The lysosomes sus-pended averaged an approximate size of 126nm,

Essay competition: Innovative ideas for the future of sustainable events

Posted by , on 11 April 2025

The Company of Biologists is organising an essay competition entitled “Innovative Ideas for the Future of Sustainable Events”. Participants are invited to write an essay of maximum 1000 words to details how your idea will change the way we organise scientific events and will open the door to a new concept of organising events more

Boston Bioimage Analysis Course (BoBiAC)

Posted by , on 10 April 2025

The Image Analysis Collaboratory and the Core for Imaging Technology & Education at Harvard Medical School are organizing the Boston Bioimage Analysis Course (BoBiAC), a 6-day intensive program offering a hands-on introduction to image processing and analysis on fluorescence microscopy images with Python! If you answered yes to these questions, then this course is for

Image Analysis course with Fiji/ImageJ

Posted by , on 9 April 2025

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

STED Microscopy User Group, April 10, 12pm EDT

Posted by , on 29 March 2025

The next BioImaging North America and Canada BioImaging STED user group will take place via Zoom on April 10 at 12 pm EST. Mathias Delhaye and Jeffrey LeDue will jointly deliver the presentation, “Expanding Insights: Magnified Analysis of the Proteome Across Imaging Platforms”, followed by Q&A. We hope you will join us! This user group is targeted at

Illuminating Cancer Metabolism: Unveiling Mitochondrial Secrets Through Fluorescence Microscopy

Posted by , on 23 March 2025

Understanding cancer metabolism is central to developing effective therapies, and a chief player in this complex scenario is mitochondrial metabolism. The studies of Monika Gooz and Eduardo N. Maldonado have shed light on how fluorescence microscopy is employed to investigate mitochondrial activity in cancer cells, thus posing avenues into the metabolic vulnerabilities that could be

What Happens When Light Meets Cell: Is It Stress, Signal, or Something More?

Posted by , on 30 December 2024

In the hub of cellular responses, how does a beam of light trigger a cascade of molecular changes in plant cells? This question solves the mystery of photostimulation-induced stress and signaling, especially at the critical contact points between the endoplasmic reticulum (ER) and chloroplasts. These dynamic cellular sites act as points for communication, resource exchange,

The Crick BioImage Analysis Symposium (2024): conference overview

Posted by , on 18 December 2024

Have you missed this year’s Crick BioImage Analysis Symposium (CBIAS2024), or you want to know how this conference went to apply for next year’s edition? Here is our recap of this conference featuring impressions from 3 microscopists coming from different research backgrounds:   Zeinab Rekad, postdoctoral Research Associate, biologist, super-user and here for the 3rd time

Image Analysis course with Fiji/ImageJ

Posted by , on 11 December 2024

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

SAM for Bioimage Analysis: A Comprehensive Guide

Posted by , on 10 December 2024

Image segmentation has always been a cornerstone of image analysis, and in bioimage analysis, its significance cannot be overstated. Precise segmentation of regions of interest is crucial for downstream analysis, yet the inherent complexity of biological data makes this task particularly challenging. While numerous segmentation methods exist, the field has long sought a generalist model