Abstract Submission

This year, our theme is “Imaging for Science”. Our goal is to highlight research where the "image" is a data rich measurement. We seek contributions that explore how imaging systems are designed, calibrated, and their outputs are interpreted to faithfully capture physical, biological, chemical, and environmental phenomena.

We encourage submissions that bridge disciplines, connect theory with practice, and advance the role of imaging as a rigorous scientific tool.

Call for Papers*

We welcome work that spans the full imaging pipeline as it applies to scientific applications: from sensor design, optics, illumination, and acquisition, through physically grounded processing, to perceptually and scientifically meaningful interpretation. Topics of interest include, but are not limited to:

1. Imaging of Natural and Built Environments. Environmental Monitoring, Visual Ecology, Underwater Imaging, Land Surveying, Remote Sensing, Cultural Heritage, and Preservation
2. Imaging in Science, Color and Image Formation. Color Imaging in Scientific Applications, Calibration, Image Quality Assessment, HDR Imaging, Image Enhancement & Restoration
   
3. 3D, Spatial, and Computational Imaging. 3D reconstruction, Photogrammetry, Structure-from-Motion, Active and Passive Depth Imaging
4. Spectral and Multi-modal Imaging. Scientific Photography, Near Infrared,Astronomical Imaging, Hyperspectral Imaging
5. Life Science Imaging. Microscopy, Biological and Biomedical Imaging, Forensic Imaging

Paper Submissions due by 10 April 2026. 
Final decisions to authors by 11 May 2026. 

Preparing your Paper

Maximum of 6 pages excluding references in IOP Publishing format. 

Preparing your Paper

Submit your paper

Papers should be submitted using Microsoft CMT Services.

Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support. 

Submit your paper

* While we recognise the growing role of machine learning and computational methods, submissions should emphasise physically informed approaches and perceptual or scientific validity, rather than purely algorithmic or black-box techniques. 

See LIM2025 for the papers published in last year's conference proceedings