<unk><unk> <unk> ng analysis can significantly reduce uncertainty in characterizing tumors compared to evaluations done by histologists, or improve the prediction rate of recurrence of some cancers. As it is a digital system, suitable for networking, it also facilitates cooperative efforts between distant sites. Systems for automatically analyzing<unk>  samples also reduce costs and save time. High-performance CCD cameras are used for acquiring the digital<unk> s. Coupled with advanced widefield microscopes and various algorithms for<unk>  restoration, this approach can provide better results than confocal techniques at comparable speeds and lower costs.
Automated tissue image analysis
Monte Carlo method for photon transport
Micropore particle technology
Hair analysis
Epidemiology data for low-linear energy transfer radiation
Biological terrain assessment
Cancer genome sequencing
Gene expression profiling in cancer