# Helpful links for now and the future

## For finding experts to help you right now
* [Image.sc forum](https://forum.image.sc) {cite}`Rueden2019-qp` - a centralized forum for >60 open source image analysis tools. Posts from beginners very welcome!

## Organizations that want to help
* [AI4Life](https://ai4life.eurobioimaging.eu/)
* [The Global Bioimage Analysts' Society (GloBIAS)](https://www.globias.org/)
  * Find your local bioimage analyst in [GloBIAS' database](https://www.globias.org/resources/bioimage-analyst-db)
* [The Center for Open Bioimage Analysis (COBA)](https://openbioimageanalysis.org/) offers free (though limited) one-on-one consultations with image analysts (among other resources!). You can sign up for their [Office Hours](https://broad.io/imagingofficehours).

## Places to learn more (or to learn where to learn more)
* [The BioImaging Guide](https://www.bioimagingguide.org/) {cite}`Senft2023-zy`
* [Introduction to Bioimage Analysis (Pete Bankhead)](https://bioimagebook.github.io/index.html)
* [HMS CITE 'favorite references'](https://nic.med.harvard.edu/fav_references/)
* [Community-developed checklists for publishing images and image analyses](https://www.nature.com/articles/s41592-023-01987-9) {cite}`Schmied2024-tl`
* [The Images to Knowledge conference](https://www.i2kconference.org/)
* [Metrics Reloaded](https://metrics-reloaded.dkfz.de/) {cite}`Maier-Hein2024-cp,Reinke2024-aj,reinke2023common` - an interactive tool for picking the right metric for measuring the accuracy of your imaging-related algorithm (segmentation, classification, etc)
* [Believing is seeing - the deceptive influence of bias in quantitative microscopy](https://doi.org/10.1242/jcs.261567) {cite}`Lee2024-zu` - why even quantification is sometimes not enough to make sure your results are unbiased
* [The crucial role of bioimage analysts in scientific research and publication](https://doi.org/10.1242/jcs.262322) {cite}`Cimini2024-uh` - why bioimage analysis is so important, and how to work with (and support!) your friendly local bioimage analyst.
* [Enabling global image data sharing in the life sciences](https://doi.org/10.1038/s41592-024-02585-z) {cite}`Bajcsy2025-kk` - why and how should we share our image data when we're ready to publish it?
* [This awesome online Nobias Advanced Scripting in Fiji Course](https://nobias-fht.github.io/advanced-scripting/) The course assumes familiarity with Fiji but **no coding experience!**

## Blog posts you may like
* [How to write a bug report when your favorite software is broken](https://focalplane.biologists.com/2024/04/03/how-to-write-a-bug-report/)
* [When to say 'good enough' in tuning your image analysis](https://carpenter-singh-lab.broadinstitute.org/blog/when-to-say-good-enough)
* [Some best practices for beginners at Jupyter Notebook](https://carpenter-singh-lab.broadinstitute.org/blog/best-practices-jupyter-notebook)
* [Docker for biologists](https://carpenter-singh-lab.broadinstitute.org/docker_for_biologists)
* [Using Cellpose and Stardist in CellProfiler](https://carpenter-singh-lab.broadinstitute.org/blog/leveraging-advanced-segmentation-models-cellprofiler-runcellpose-and-runstardist)
* **"Thinking like an image analyst"** blog series - going through the process of solving an image analysis problem. Parts: [1](https://carpenter-singh-lab.broadinstitute.org/blog/thinking-image-analyst-part-i-project-overview-and-data-import) [2](https://carpenter-singh-lab.broadinstitute.org/blog/thinking-image-analyst-part-ii-removing-bright-debris-analysis) [3](https://carpenter-singh-lab.broadinstitute.org/blog/thinking-image-analyst-part-iii-enhancing-fibers-detection) [4](https://carpenter-singh-lab.broadinstitute.org/blog/thinking-image-analyst-part-iv-detecting-fibers-objects) [5](https://carpenter-singh-lab.broadinstitute.org/blog/thinking-image-analyst-part-v-making-measurements-and-exporting-data-analysis)