Modern microscopy techniques—especially in electron and advanced optical imaging—generate increasingly large and complex datasets. However:
- Noise obscures critical features
- Artefacts distort interpretation
- Manual clean-up is slow and subjective and can often introduce artefacts
SenseAI Enhance is a an image post-processing software suite that can clean up images by denoising, deblurring and enhancing features. It is a post-processing tool i.e. it can be applied to images after their acquisition, and it can be used stand-alone as well as alongside SenseAI Accelerate.
Uses dictionary learning algorithms to resolve underlying structures enhancing signal to noise
Uses a variety of different machine learning algorithms and filters to reduce noise
Deconvolution resolving a point spread function with other techniques
Rsesolve different frequency signals to clarify certain information
- TEM / STEM imaging including in-situ and high-speed imaging
- 4D STEM datasets
- SEM including volume EM
- Confocal microscopy
- Defect detection
- Interface analysis
- Nanostructure characterisation
- Failure analysis
- Process control
- Inline inspection workflows
- Microstructure clarity
- Degradation analysis
- Phase identification
- Cellular ultrastructure
- Single Particle Analysis using TEM
- Connectomics
- High-content imaging pipelines including high-throughput screening