Live briefing
Everything about Bioimage informatics
Bioimage informatics is a subfield of bioinformatics and computational biology. It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput. The goal is to obtain useful knowledge out of complicated and heterogeneous image and related metadata. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Bioimage informaticsA 5-minute orientation
- Skim a recent paper: SproutAngio: an open-source bioimage informatics tool for quantitative analysis of sprouting angiogenesis and lumen spaceInfluential work since 2022
- Pick up a classic book: Focus on Bio-Image InformaticsThe most-reprinted book on the subject
- Read the landmark paper: Icy: an open bioimage informatics platform for extended reproducible researchCited 1,675 times
- Go sideways: Vaa3DA closely related topic
- Go sideways: Robert F. Murphy (computational biologist)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Icy: an open bioimage informatics platform for extended reproducible research
Bioimage informatics: a new area of engineering biology
Bioimage Informatics for Experimental Biology
Classification of dead and living microalgae Chlorella vulgaris by bioimage informatics and machine learning
A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions
Why bioimage informatics matters
Current challenges in open-source bioimage informatics
A bioimage informatics approach to automatically extract complex fungal networks
🆕 Influential since 2022
SproutAngio: an open-source bioimage informatics tool for quantitative analysis of sprouting angiogenesis and lumen space
Bioimage informatics: Investing in software usability is essential
JDLL: a library to run deep learning models on Java bioimage informatics platforms
ReScale4DL: balancing pixel and contextual information for enhanced bioimage segmentation
📚 Books worth reading
Focus on Bio-Image InformaticsWinnok H. De Vos, Sebastian Munck · 2016- 📕Medical Informatics and Bioimaging Using Artificial IntelligenceAboul Ella Hassanien, Roheet Bhatnagar · 2022
Computational systems bioinformaticsXiaobo Zhou, Stephen T. C. Wong · 2008
Frontiers Bioimage Informatics MethodohbRAPSOMANIKI · 2024
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Vaa3D Vaa3D (in Chinese ‘挖三维’) is an Open Source visualization and analysis software suite created mainly by Hanchuan Peng and his team at Janelia Research Campus…
- Robert F. Murphy (computational biologist) Robert F. Murphy is an American computational biologist. He is the Ray and Stephanie Lane Professor of Computational Biology Emeritus at Carnegie Mellon…
- Biological data visualization Biological data visualization is a branch of bioinformatics concerned with the application of computer graphics, scientific visualization, and information…
- Neuronal tracing In neuroscience, neuronal tracing or neuron reconstruction refers to the determination of the pathway of the neurites or neuronal processes, the axons…
- Fluorescence microscope A fluorescence microscope is an optical microscope that uses fluorescence instead of, or in addition to scattering, reflection, and attenuation or absorption…
- Anna Kreshuk Anna Kreshuk is a group leader at the European Molecular Biology Laboratory in Heidelberg, Germany. She joined the Cell Biology and Biophysics Unit in…
- High-content screening High-content screening (HCS), also known as high-content analysis (HCA) or cellomics, is a method that is used in biological research and drug discovery…
- Fiji (software) Fiji is an open source image processing package based on ImageJ2. Fiji's main purpose is to provide a distribution of ImageJ2 with many bundled plugins…