Since user education has always been a priority to us we have recently launched theIKOSA Knowledge Base – an extensive online repository of microscopy resources for an effective bioimage analysis and algorithm training with the IKOSA Platform. In this general introduction blog post, we present to you the most interesting contents and features of the IKOSA knowledge repository.
- Explore the IKOSA Knowledge Base
- Learning to navigate the IKOSA Knowledge Base
- The fundamentals of data and analysis preparation in IKOSA
- Microscopy image analysis and algorithm training tasks with IKOSA
- Tips and tricks on algorithm training results interpretation
- Don’t miss any of our new instructional resources and guides on the IKOSA Knowledge Base
Explore the IKOSA Knowledge Base
If you are new to the IKOSA microscopy image management and analysis platform, you are interested in learning more about some advanced bioimage analysis techniques or you are simply looking for some education materials on the topic of microscopy imaging, the IKOSA Knowledge Base is the right place to start. Explore a large body of web resources, articles, step-by-step video tutorials, helpful visuals and digital information materials our team has prepared for you based on extensive user research, user interviews and frequently asked questions.
Find the answers to your questions related to the uses of the IKOSA Platform software and practical solutions to your research problems.
Tips and tricks
The large stock of online resources in our Knowledge Base will help you learn how to easily navigate the IKOSA software and get more efficient and confident in your microscopy image analysis tasks.
Learning to navigate the IKOSA Knowledge Base
Get started by learning how to effectively navigate the IKOSA Knowledge Base. The IKOSA Knowledge Base is a publicly available collection of microscopy imaging and analysis resources. To view our information repository no sign-up is required. The IKOSA Knowledge Base is easily accessible on your browser from different devices.
The content in our knowledge repository is grouped around different topic categories. You can easily view and browse those categories from the user-friendly main navigation page.
The IKOSA Knowledge Base supports search functionality to help you quickly access the information you need. From the main page you have the option to apply search filters and easily find certain terms and information of your interest. You can also search articles included in the Knowledge Base by using label filters.
In the glossary available we provide you with a list of commonly used terms in our instructional articles. The listing includes helpful definitions of key terms in microscopy imaging like for example annotation, semantic segmentation algorithm training and false positive predictions .
The fundamentals of data and analysis preparation in IKOSA
In the image management section you will find a series of instructional how-to articles on topics like creating new projects, uploading image data, annotating and labeling images and drawing regions-of-interest (ROIs). All these are basic, but fundamental preparatory steps towards effective image processing jobs in IKOSA and conducting them properly will help you get the optimal research results.
In the process, we introduce you to many useful tools and features available in the IKOSA software. Learn how to utilize the following specials functionalities:
- Creating a new project from the main dashboard or from the dedicated projects page
- Uploading images acquired with different microscope imaging, light wavelength file format modalities
- Annotating digital images in IKOSA, creating label sets, taking the different annotation-shape tools into action
- Drawing and modifying region-of-interest (ROI) shapes with the specialized tools within IKOSA
Microscopy image analysis and algorithm training tasks with IKOSA
In the algorithm training section you will learn how to train and deploy your own microscopy image analysis algorithms.
In the section dedicated to trained algorithm types we provide theoretical background on the central image analysis techniques available in the IKOSA Platform: semantic segmentation, image classification and object detection.
A special article on algorithm training with IKOSA AI is dedicated to the hows and whats of efficient algorithm development for the purpose of analyzing microscopy image data. Learn how to develop bioimage analysis algorithms on your own that are tailored to your research objectives.
Further, we provide you with helpful instructional materials on the deployment of ready-made algorithms in order to be able to start with actual analytical tasks.
Tips and tricks on algorithm training results interpretation
Last but not least, getting efficient at interpreting your results output is essential to reaching your research objectives. A group of how-to resources in our Knowledge Base covers both basic and advanced result interpretation techniques.
A special article on how to interpret training report results provides you with a better understanding of the underlying data behind trained algorithms.
Further, we offer comprehensive guidelines on how to interpret quantitative and qualitative result outputs in IKOSA.
Don’t miss any of our new instructional resources and guides on the IKOSA Knowledge Base
We keep the IKOSA Knowledge Base up-to-date with new instructional materials and feature updates. So, stick around, if you want to stay current about the latest IKOSA news.
In the meantime follow the educational content on digital microscopy imaging and analysis on our blog to stay updated.
Written by Fanny Dobrenova
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