The flutter of a butterfly's wing can cause a typhoon halfway around the world.
- chaos theory

• Retrieving despite the lines

  

  Efforts of phase and amplitude retrieval from diffraction patterns have almost exclusively been applied for non-periodic objects. We have investigated the quality of retrieval of non-periodic objects embedded in a sinusoidal background using the iterative hybrid input-output with oversampling approach. Two strategies were employed; one by filtering in the frequency domain prior to phase retrieval, and the other by filtering the phase or amplitude image after retrieval. Results obtained indicate better outcomes with the latter approach provided detector noise is not excessive.

  C. Wu, T.W. Ng, A. Neild, Phase and amplitude retrieval of objects embedded in a sinusoidal background from its diffraction pattern. Applied Optics. 49 (2010) 1831-1837.

• A better way to retrieve phase from video (NEW)

  

  Important nuances of a process or processes in action can be obtained from the phase retrieval of diffraction patterns for analysis of transient events. When a predictive input function is introduced, there is every possibility that the iteration may not converge. When this occurs, another predictive function will have to be introduced until convergence is accomplished. In dealing with a transient event recorded as a series of Fourier magnitude patterns, the hit-and-miss possibility attribute of the iterative approach, on the surface, appears computationally daunting. We have reported a strategy here that effectively minimizes this. To watch phase retrieval of cell mitosis over time click here.

  T.W. Ng, A.S.L. Chua, Efficient phase retrieval from sequential recordings of transient events Applied Optics. Accepted 22/10/2011.

Major Research Thrusts

We seek to develop better methods, assays, and procedures that enable analysis of substances found in living organisms and the chemical reactions underlying life processes.

Our quest to find novel methods to move particles and cells around to accomplish important functions.

The natural outcome of experimentation where we produce more advanced sensors, actuators, processors, and software.