Multispectral total-variation reconstruction applied to lens-free microscopy.

Lens-free microscopy multispectral acquisitions are processed with an inverse problem approach: a multispectral total variation criterion is defined and minimized with the conjugate gradients method. Reconstruction results show that the method is efficient to recover the phase image of densely packed cells.

[1]  Jean-Marc Dinten,et al.  Imaging of dense cell cultures by multiwavelength lens‐free video microscopy , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[2]  T. Latychevskaia,et al.  Solution to the twin image problem in holography. , 2006, Physical review letters.

[3]  J R Fienup,et al.  Phase retrieval algorithms: a comparison. , 1982, Applied optics.

[4]  Aydogan Ozcan,et al.  Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy , 2012, Nature Methods.

[5]  Aydogan Ozcan,et al.  Edge sparsity criterion for robust holographic autofocusing. , 2017, Optics letters.

[6]  Vicente Micó,et al.  Improved quantitative phase imaging in lensless microscopy by single-shot multi-wavelength illumination using a fast convergence algorithm. , 2015, Optics express.

[7]  A Finizio,et al.  Whole optical wavefields reconstruction by digital holography. , 2001, Optics express.

[8]  Aydogan Ozcan,et al.  Lensless Imaging and Sensing. , 2016, Annual review of biomedical engineering.

[9]  Leslie J. Allen,et al.  Phase retrieval from series of images obtained by defocus variation , 2001 .

[10]  A. Ozcan,et al.  Maskless imaging of dense samples using pixel super-resolution based multi-height lensfree on-chip microscopy , 2012, Optics Express.

[11]  Daniel Claus,et al.  Quantitative space-bandwidth product analysis in digital holography. , 2011, Applied optics.

[12]  Yibo Zhang,et al.  Sparsity-based multi-height phase recovery in holographic microscopy , 2016, Scientific Reports.