Automated fourier space region-recognition filtering for off-axis digital holographic microscopy
Automated label-free quantitative imaging of biological samples can greatly benefit high throughput diseases diagnosis. Digital holographic microscopy (DHM) is a powerful quantitative label-free imaging tool that retrieves structural details of cellular samples non-invasively. In off-axis DHM, a proper spatial filtering window in Fourier space is crucial to the quality of reconstructed phase image. Here we describe a region-recognition approach that combines shape recognition with an iterative...[Show more]
|Collections||ANU Research Publications|
|Source:||Biomedical Optics Express|
|Access Rights:||Open Access|
|01_He_Automated_fourier_space_2016.pdf||5.14 MB||Adobe PDF|
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