BioVoxxel (Jan Brocher)

@biovoxxel.de

BioImage Analyst, Consulting, Customized Analysis Programming Founder, PhD in biology, Fiji/ImageJ, Inkscape, Java 🧪🔬💻 🇩🇪 🇬🇧 🇪🇦 Homepage: biovoxxel.de All relevant BioVoxxel Links: linktr.ee/biovoxxel LinkedIn Newsletter: http://bit.ly/46mYBL7

To Scale, or not to Scale? - When size matters! "Scaling" in image analysis software like #ImageJ & #Fiji may be used ambiguous for different meanings: - specifying pixel sizes - resizing an image - resizing a selection All of those have different use cases and impact. Read more

No. 09 - To scale, or not to scale?

From pixels, selections, and image sizes - lost in scaling forest When we talk about scaling while working with images for example in ImageJ/Fiji, the word scaling is used for very different processes...

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We just released a new major version of TrackMate (v8), the cell and organelle tracking plugin of Fiji. It ships many new features, detailed below, but that are articulated around the following:

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To ask, or not to ask? 🎭 already Shakespear knew: “Before thou clicketh ‘Acquire’, consult thy analyst.” Doing image analysis? Check image quality, labels, resolution, metadata with your imaging analyst first — your future self will thank you! Read more: bit.ly/46mYBL7 #Microscopy #BioImaging

Bio-Imaging with Shakespeare | LinkedIn

Biweekly takes on bio-image analysis, processing techniques, insight into tools and trade‑offs as well as best practices

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Happy "#FluorescentFriday", actually luminescence 🌌 🌈 Just feel like sharing some incredible moments recently captured near Tromsø, Norway Experiencing auroras in nature makes me feel tiny and special at the same time. It puts daily life into perspective & sparks huge gratefulness 💚 #Auroras

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🔬 Blinded by colors? Color ≠ Intensity! Quantifying intensities from RGB images (e.g. fluorescence, blots, ...) is mostly misleading! Check your image data type carefully! Learn more in Newsletter No. 5 - To analyze RGB images, or NOT to analyze RGB images? Read and subscribe: bit.ly/46mYBL7

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Bio-Imaging with Shakespeare: pseudocoloring (LUTs) — reveal hidden imaging issues and highlight important data. ✔ Spot noise, shading & saturation ✔ Map data for spatial insight ✔ Make color accessible to all ✔ Why to use a calibration bar Full guide, tools & tutorial inside 👇 buff.ly/8x7Shiq

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Everyone who does quantitative microscopy should read this! It’s amazing how many ways we can bias our imaging experiments without realizing we’re doing it.

Journal of Cell Biology@jcb.org · 11mo ago

In 2019, Anna Jost & @jencwaters.bsky.social reviewed best practices for validating quantitative #microscopy methods & discuss strategies to avoid unconscious bias in imaging experiments rupress.org/jcb/article/... 📕 In #Reproducibility & Best Practices in Cell Biology: rupress.org/jcb/collecti...

In the 2nd edition of Bio-Imaging with Shakespeare we meet a pesky gremlin — uneven illumination (aka shading, intensity non-uniformity). 🎭🔬 💻 It can quietly bias your segmentation and image analysis results! So, detect it early, correct it appropriately! Subscribe on LinkedIn buff.ly/cLPh8eZ

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Amazing BlueSky Summer Sale Your choice: Any of the #BioVoxxel online self-learning courses buff.ly/o64cW9Y The first 10 participants that enroll in the next 10 days get 10% OFF Use the code "BSKY101010" at checkout to redeem your discount. Hurry, only 10 chances until August 31st 2025!🏃‍♂️🏃‍♀️

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To interpolate or not to interpolate ? That is the question! 1st edition of the Bio-Imaging with Shakespeare Newsletter I start a biweekly series containing takes on bio-image analysis, processing techniques, insight into tools and trade‑offs as well as best practices. Subscribe buff.ly/cLPh8eZ

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