Reports of Biological Imaging is a peer-reviewed, open-access journal that publishes original research articles, reviews, and technical notes in all areas of biological imaging. The journal aims to provide a platform for researchers, scientists, and clinicians to share their findings, knowledge, and expertise in the field of biological imaging.

The journal covers a broad range of topics related to biological imaging, including but not limited to:

  • Advances in imaging technologies
  • Applications of imaging in cell biology
  • Bioimaging of structural and functional biology
  • Biomedical imaging and analysis
  • Computational image analysis and modeling
  • Confocal microscopy and super-resolution microscopy
  • Imaging of disease and pathology
  • Imaging of living organisms
  • Imaging of molecular and cellular dynamics
  • Multi-modal imaging and data fusion
  • Optical coherence tomography and other optical imaging techniques
  • Techniques for image acquisition, processing, and analysis
  • Ultrafast imaging and spectroscopy

Reports of Biological Imaging welcomes submissions from researchers across the globe. The journal has a strong commitment to promoting open access and adheres to ethical publishing practices.

The specific topics covered by the journal include, but are not limited to:

  1. Advances in imaging technologies:
    • Magnetic resonance imaging (MRI)
    • Positron emission tomography (PET)
    • Computed tomography (CT)
    • Ultrasound imaging
    • Optical imaging
    • X-ray imaging
    • Electron microscopy
    • Scanning probe microscopy
    • Mass spectrometry imaging
  2. Applications of imaging in cell biology:
    • Live cell imaging
    • Fluorescence imaging
    • In situ hybridization
    • Immunohistochemistry
    • Confocal imaging
    • Super-resolution imaging
    • 3D imaging
    • Time-lapse imaging
  3. Bio-imaging of structural and functional biology:
    • Protein structure determination
    • X-ray crystallography
    • Cryo-electron microscopy
    • Cryo-electron tomography
    • Single-particle analysis
    • Structural biology of macromolecules
    • Functional imaging of biomolecules
  4. Biomedical imaging and analysis:
    • Medical imaging
    • Image-guided surgery
    • Imaging in drug discovery and development
    • Image processing and analysis
    • Image segmentation and registration
    • Image feature extraction
    • Machine learning for imaging data analysis
  5. Computational image analysis and modeling:
    • Image processing and analysis
    • Image segmentation and registration
    • Image feature extraction
    • Machine learning for imaging data analysis
    • Numerical simulation of imaging processes
    • Imaging data visualization
  6. Confocal microscopy and super-resolution microscopy:
    • Confocal microscopy
    • Super-resolution microscopy
    • Stochastic optical reconstruction microscopy (STORM)
    • Structured illumination microscopy (SIM)
    • Single-molecule localization microscopy (SMLM)
    • Total internal reflection fluorescence microscopy (TIRF)
    • Light-sheet microscopy
  7. Imaging of disease and pathology:
    • Oncology imaging
    • Cardiovascular imaging
    • Neuroimaging
    • Infectious disease imaging
    • Autoimmune disease imaging
    • Metabolic disease imaging
    • Genetic disease imaging
  8. Imaging of living organisms:
    • Whole-body imaging
    • Small animal imaging
    • Imaging of model organisms
    • Imaging of plant systems
  9. Imaging of molecular and cellular dynamics:
    • Fluorescence resonance energy transfer (FRET)
    • Bioluminescence resonance energy transfer (BRET)
    • För scher Resonance Energy Transfer (FRET)
    • Total internal reflection fluorescence microscopy (TIRFM)
    • Fluorescence lifetime imaging microscopy (FLIM)
    • Fluorescence correlation spectroscopy (FCS)
    • Single-particle tracking (SPT)
    • Structured illumination microscopy (SIM)
    • Super-resolution microscopy (SRM)
    • Stimulated emission depletion microscopy (STED)
    • Photo activated localization microscopy (PALM)
    • Stochastic optical reconstruction microscopy (STORM)
  10. Quantitative imaging:
    • Image analysis and processing
    • Quantitative data analysis
    • Machine learning and artificial intelligence in imaging analysis
    • Statistical analysis of imaging data
    • Data visualization and interpretation
    • Quality control in imaging
  11. Biomedical imaging:
    • In vivo imaging
    • Clinical imaging
    • Medical imaging techniques (MRI, CT, PET, SPECT, etc.)
    • Imaging in disease diagnosis and monitoring Image-guided therapy
    • Molecular imaging
    • Nanoparticle imaging
    • Contrast agents for imaging
  12. Neuroimaging:
    • Functional magnetic resonance imaging (fMRI)
    • Diffusion tensor imaging (DTI)
    • Positron emission tomography (PET)
    • Single-photon emission computed tomography (SPECT)
    • Magnetoencephalography (MEG)
    • Optical imaging
    • Connectomics
  13. Imaging in plant biology:
    • Imaging of plant growth and development
    • Imaging of plant-microbe interactions
    • Imaging of plant stress responses
    • Plant imaging techniques (confocal, light sheet, etc.)
  14. Imaging in microbiology:
    • Microbial imaging techniques (fluorescence, electron microscopy, etc.)
    • Imaging of microbial growth and development
    • Imaging of microbial interactions (bacterial biofilms, viral infection, etc.)
    • Imaging of microbial communities (microbiomes)
  15. Imaging in ecology and environmental sciences:
    • Imaging of ecosystems
    • Remote sensing and satellite imaging
    • Imaging of animal behavior and interactions
    • Imaging of environmental processes (carbon cycling, nutrient cycling, etc.)
  16. Imaging in materials science:
    • Materials imaging techniques (SEM, TEM, etc.)
    • Imaging of materials structure and properties
    • Imaging of materials synthesis and processing
    • In situ imaging of materials reactions
  17. Imaging in chemistry:
    • Imaging of chemical reactions
    • Spectroscopic imaging techniques (Raman, infrared, etc.)
    • Imaging of chemical structures and properties
  18. Imaging in physics:
    • Imaging of physical processes (fluid dynamics, phase transitions, etc.)
    • Imaging of quantum phenomena
    • Imaging of materials under extreme conditions
  19. Image-based modeling and simulation:
    • Image-based modeling of biological and physical systems
    • Image-based simulations of complex systems
    • Image-based modeling of materials and structures
  20. Image data management and sharing:
    • Image data storage and retrieval
    • Data sharing and dissemination
    • Image metadata and ontologies
  21. Ethics and best practices in imaging:
    • Responsible conduct of research in imaging
    • Image data management and sharing
    • Reproducibility and transparency in imaging research
    • Image data privacy and security
    • Conflicts of interest and ethical considerations in imaging research
  22. Education and outreach:
    • Imaging education and training programs
    • Public outreach and engagement
    • Science communication through imaging.

Reports of Biological Imaging aims to be a leading open access journal in the field of biological imaging, providing a platform for researchers to share their findings, techniques, and innovative methods in the field. Our scope encompasses all aspects of biological imaging, from the development of new imaging technologies to their application in understanding fundamental biological processes. We strive to provide a collaborative and interdisciplinary environment for researchers across the globe. Our ultimate goal is to advance the understanding of biological processes through the dissemination of cutting-edge research in biological imaging. We welcome submissions from researchers in academia, industry, and government agencies who are passionate about pushing the boundaries of biological imaging.