4D tracking of clinical seminal samples for quantitative characterization of motility parameters.

In this paper we investigate the use of a digital holographic microscope, with partial spatial coherent illumination, for the automated detection and tracking of spermatozoa. This in vitro technique for the analysis of quantitative parameters is useful for assessment of semen quality. In fact, thanks to the capabilities of digital holography, the developed algorithm allows us to resolve in-focus amplitude and phase maps of the cells under study, independently of focal plane of the sample image. We have characterized cell motility on clinical samples of seminal fluid. In particular, anomalous sperm cells were characterized and the quantitative motility parameters were compared to those of normal sperm.

[1]  P Memmolo,et al.  Identification of bovine sperm head for morphometry analysis in quantitative phase-contrast holographic microscopy. , 2011, Optics express.

[2]  Frank Dubois,et al.  Partial spatial coherence effects in digital holographic microscopy with a laser source. , 2004, Applied optics.

[3]  Patrik Langehanenberg,et al.  Autofocusing in digital holographic microscopy , 2011 .

[4]  Giuseppe Coppola,et al.  Digital holographic microscopy characterization of superdirective beam by metamaterial. , 2012, Optics letters.

[5]  L Yu,et al.  Iterative algorithm with a constraint condition for numerical reconstruction of a three-dimensional object from its hologram. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[6]  P Memmolo,et al.  Digital holography as a method for 3D imaging and estimating the biovolume of motile cells. , 2013, Lab on a chip.

[7]  K. Lingemann,et al.  The 3D Hough Transform for plane detection in point clouds: A review and a new accumulator design , 2011 .

[8]  Chun-Min Lo,et al.  High-resolution quantitative phase-contrast microscopy by digital holography. , 2005, Optics express.

[10]  Joseph Shamir,et al.  Fourier optics described by operator algebra , 1980 .

[11]  Frank Dubois,et al.  Automated three-dimensional detection and classification of living organisms using digital holographic microscopy with partial spatial coherent source: application to the monitoring of drinking water resources. , 2013, Applied optics.

[12]  D. Beebe,et al.  Sperm motion in a microfluidic fertilization device , 2008, Biomedical microdevices.

[13]  D. Dirksen,et al.  Autofocusing in digital holographic phase contrast microscopy on pure phase objects for live cell imaging. , 2008, Applied optics.

[14]  Chang-Yu Chen,et al.  Analysis of sperm concentration and motility in a microfluidic device , 2011 .

[15]  Frank Dubois,et al.  Automatic algorithm for the detection and 3D tracking of biological particles in digital holographic microscopy , 2011 .

[16]  Tomasz Kozacki,et al.  Autofocusing method for tilted image plane detection in digital holographic microscopy , 2013 .

[17]  Frank Dubois,et al.  Digital holographic microscopy working with a partially spatial coherent source , 2011 .

[18]  S T Mortimer,et al.  CASA--practical aspects. , 2000, Journal of andrology.

[19]  Jackson Kirkman-Brown,et al.  Human spermatozoa migration in microchannels reveals boundary-following navigation , 2012, Proceedings of the National Academy of Sciences.

[20]  Ming Lei,et al.  Autofocusing of digital holographic microscopy based on off-axis illuminations. , 2012, Optics letters.

[21]  Pavel Ventruba,et al.  Digital holographic microscopy in human sperm imaging , 2011, Journal of Assisted Reproduction and Genetics.

[22]  Bahram Javidi,et al.  Extended focused image in microscopy by digital Holography. , 2005, Optics express.

[23]  Peter Klages,et al.  Digital in-line holographic microscopy. , 2006 .

[24]  Catherine Yourassowsky,et al.  Focus plane detection criteria in digital holography microscopy by amplitude analysis. , 2006, Optics express.

[25]  Anand Asundi,et al.  Impact of charge-coupled device size on axial measurement error in digital holographic system. , 2013, Optics letters.

[26]  D. Alspach A gaussian sum approach to the multi-target identification-tracking problem , 1975, Autom..

[27]  Elizabeth Noonan,et al.  World Health Organization reference values for human semen characteristics. , 2010, Human reproduction update.

[28]  Pietro Ferraro,et al.  Compensation of the inherent wave front curvature in digital holographic coherent microscopy for quantitative phase-contrast imaging. , 2003, Applied optics.

[29]  Byoungho Lee,et al.  Plasmonic Light Beaming Manipulation and its Detection Using Holographic Microscopy , 2010, IEEE Journal of Quantum Electronics.

[30]  G Di Caprio,et al.  Quantitative Label-Free Animal Sperm Imaging by Means of Digital Holographic Microscopy , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[31]  Aydogan Ozcan,et al.  High-throughput lensfree 3D tracking of human sperms reveals rare statistics of helical trajectories , 2012, Proceedings of the National Academy of Sciences.

[32]  Luca De Stefano,et al.  Shedding light on diatom photonics by means of digital holography. , 2014, Journal of biophotonics.

[33]  Giancarlo Pedrini,et al.  Aberration compensation in digital holographic reconstruction of microscopic objects , 2001 .

[34]  M. Gross,et al.  Dark-field digital holographic microscopy for 3D-tracking of gold nanoparticles. , 2011, Optics express.

[35]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[36]  D. Mortimer,et al.  Relationship between human sperm motility characteristics and sperm penetration into human cervical mucus in vitro. , 1986, Journal of reproduction and fertility.

[37]  Frank Dubois,et al.  Dependency and precision of the refocusing criterion based on amplitude analysis in digital holographic microscopy. , 2011, Optics express.