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Displaying posts with the tag: is_archive

2026 Boston Bioimage Analysis Course (BoBiAC)

Posted by , on 3 February 2026

📣  After a successful 2025 edition, we’re excited to share we are now accepting applications for the 💻  2026 Boston Bioimage Analysis Course (BoBiAC)📊! Join us at Harvard Medical School this July for a 6-day intensive hands-on course where you will learn both Python and bioimage analysis, starting from the basics and applying each concept directly to fluorescence microscopy images. If you answered yes

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

Image Analyst at Harvard Medical School

Posted by , on 27 February 2023

We are looking for two or more smart, skilled, and enthusiastic bioimage analysts, to join us as soon as possible. Harvard Medical School (HMS) is a world leader in biological and biomedical imaging, with an outstanding community of researchers using cutting-edge microscopy to advance the field. The Image Analysis Collaboratory (IAC) is dedicated to training

Managing Scientific Python environments using Conda, Mamba and friends

Posted by , on 8 December 2022

TL:DR: This blog post gives short instructions and explanations to demystify how some scientific Python programmers, including myself, organize their coding environment for the sake of reproducibility of science. We will see what conda and mamba are, what they are good for, and how to use them properly. We will also take a short excursion