12 December 2017 Wide field of view common-path lateral-shearing digital holographic interference microscope
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Quantitative three-dimensional (3-D) imaging of living cells provides important information about the cell morphology and its time variation. Off-axis, digital holographic interference microscopy is an ideal tool for 3-D imaging, parameter extraction, and classification of living cells. Two-beam digital holographic microscopes, which are usually employed, provide high-quality 3-D images of micro-objects, albeit with lower temporal stability. Common-path digital holographic geometries, in which the reference beam is derived from the object beam, provide higher temporal stability along with high-quality 3-D images. Self-referencing geometry is the simplest of the common-path techniques, in which a portion of the object beam itself acts as the reference, leading to compact setups using fewer optical elements. However, it has reduced field of view, and the reference may contain object information. Here, we describe the development of a common-path digital holographic microscope, employing a shearing plate and converting one of the beams into a separate reference by employing a pin-hole. The setup is as compact as self-referencing geometry, while providing field of view as wide as that of a two-beam microscope. The microscope is tested by imaging and quantifying the morphology and dynamics of human erythrocytes.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Priyanka Vora, Priyanka Vora, Vismay Trivedi, Vismay Trivedi, Swapnil Mahajan, Swapnil Mahajan, Nimit R. Patel, Nimit R. Patel, Mugdha Joglekar, Mugdha Joglekar, Vani Chhaniwal, Vani Chhaniwal, Ali-Reza Moradi, Ali-Reza Moradi, Bahram Javidi, Bahram Javidi, Arun Anand, Arun Anand, } "Wide field of view common-path lateral-shearing digital holographic interference microscope," Journal of Biomedical Optics 22(12), 126001 (12 December 2017). https://doi.org/10.1117/1.JBO.22.12.126001 . Submission: Received: 16 August 2017; Accepted: 16 November 2017
Received: 16 August 2017; Accepted: 16 November 2017; Published: 12 December 2017

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