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Abstract
We describe a numerical processing technique that allows single-shot region-of-interest (ROI) reconstruction in image plane digital holographic microscopy with full pixel resolution. The ROI reconstruction is modelled as an optimization problem where the cost function to be minimized consists of an L2-norm squared data fitting term and a modified Huber penalty term that are minimized alternately in an adaptive fashion. The technique can provide full pixel resolution complex-valued images of the selected ROI which is not possible to achieve with the commonly used Fourier transform method. The technique can facilitate holographic reconstruction of individual cells of interest from a large field-of-view digital holographic microscopy data. The complementary phase information in addition to the usual absorption information already available in the form of bright field microscopy can make the methodology attractive to the biomedical user community.
Acknowledgements
The authors thank Dr Sarita Ahlawat (Technology Business Incubation Unit, IIT Delhi) and Dr(s). Amit Dinda and Sandeep Mathur (All India Institute of Medical Sciences, New Delhi) for making the blood smear and cervical cell sample slides and available for this study. The authors would also like to thank Holmarc Opto-Mechatronics Pvt. Ltd. for providing access to the DHM product prototype system.
Notes
The material discussed in this manuscript was presented in part at the topical meeting ‘Digital Holography and 3-Dimensional Imaging’ held at Jeju Island, S. Korea in May 2017 (poster W2A.10).