Literature DB >> 28079304

Localized measurements of physical parameters within human sperm cells obtained with wide-field interferometry.

Michal Balberg1, Mattan Levi2, Ksawery Kalinowski1, Itay Barnea1, Simcha K Mirsky1, Natan T Shaked1.   

Abstract

We developed a new method to identify the separate cellular compartments in the optical path delay (OPD) maps of un-labeled spermatozoa. This was conducted by comparing OPD maps of fixed, un-labeled spermatozoa to bright field images of the same cells following labeling. The labeling enabled us to identify the acrosomal and nuclear compartments in the corresponding OPD maps of the cells. We then extracted the refractive index maps of fixed cells by dividing the OPD maps of spermatozoa by the corresponding thickness maps of the same cells, obtained with AFM. Finally, the dry mass of the head, nucleus and acrosome of un-labeled immobile spermatozoa, was measured. This method provides the ability to quantitatively measure the dry mass of cellular compartments within human spermatozoa. We expect that these measurements will assist label-free selection of sperm cells for fertilization.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  digital holography; dry mass; interferometric phase microscopy; sperm morphology

Mesh:

Year:  2017        PMID: 28079304     DOI: 10.1002/jbio.201600186

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  4 in total

1.  Erythrocyte volumetric measurements in imaging flow cytometry using simultaneous three-wavelength digital holographic microscopy.

Authors:  Nir A Turko; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2020-10-22       Impact factor: 3.732

2.  Integral refractive index imaging of flowing cell nuclei using quantitative phase microscopy combined with fluorescence microscopy.

Authors:  Gili Dardikman; Yoav N Nygate; Itay Barnea; Nir A Turko; Gyanendra Singh; Barham Javidi; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2018-02-15       Impact factor: 3.732

3.  Cancer-Cell Deep-Learning Classification by Integrating Quantitative-Phase Spatial and Temporal Fluctuations.

Authors:  Shani Ben Baruch; Noa Rotman-Nativ; Alon Baram; Hayit Greenspan; Natan T Shaked
Journal:  Cells       Date:  2021-11-29       Impact factor: 6.600

4.  Sperm Inspection for In Vitro Fertilization via Self-Assembled Microdroplet Formation and Quantitative Phase Microscopy.

Authors:  Yuval Atzitz; Matan Dudaie; Itay Barnea; Natan T Shaked
Journal:  Cells       Date:  2021-11-26       Impact factor: 6.600

  4 in total

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