Literature DB >> 26003272

Interferometric phase microscopy for label-free morphological evaluation of sperm cells.

Miki Haifler1, Pinhas Girshovitz2, Gili Band3, Gili Dardikman2, Igal Madjar3, Natan T Shaked4.   

Abstract

OBJECTIVE: To compare label-free interferometric phase microscopy (IPM) to label-free and label-based bright-field microscopy (BFM) in evaluating sperm cell morphology. This comparison helps in evaluating the potential of IPM for clinical sperm analysis without staining.
DESIGN: Comparison of imaging modalities.
SETTING: University laboratory. PATIENT(S): Sperm samples were obtained from healthy sperm donors. INTERVENTION(S): We evaluated 350 sperm cells, using portable IPM and BFM, according to World Health Organization (WHO) criteria. The parameters evaluated were length and width of the sperm head and midpiece; size and width of the acrosome; head, midpiece, and tail configuration; and general normality of the cell. MAIN OUTCOME MEASURE(S): Continuous variables were compared using the Student's t test. Categorical variables were compared with the χ(2) test of independence. Sensitivity and specificity of IPM and label-free BFM were calculated and compared with label-based BFM. RESULT(S): No statistical differences were found between IPM and label-based BFM in the WHO criteria. In contrast, IPM measurements of head and midpiece width and acrosome area were different from those of label-free BFM. Sensitivity and specificity of IPM were higher than those of label-free BFM for the WHO criteria. CONCLUSION(S): Label-free IPM can identify sperm cell abnormalities, with an excellent correlation with label-based BFM, and with higher accuracy compared with label-free BFM. Further prospective clinical trials are required to enable IPM as part of clinical sperm selection procedures.
Copyright © 2015 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Interferometry; male fertility; phase microscopy; sperm analysis

Mesh:

Year:  2015        PMID: 26003272     DOI: 10.1016/j.fertnstert.2015.04.013

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  9 in total

1.  PhUn-Net: ready-to-use neural network for unwrapping quantitative phase images of biological cells.

Authors:  Gili Dardikman-Yoffe; Darina Roitshtain; Simcha K Mirsky; Nir A Turko; Mor Habaza; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2020-01-24       Impact factor: 3.732

2.  Combined Raman and polarization sensitive holographic imaging for a multimodal label-free assessment of human sperm function.

Authors:  Annalisa De Angelis; Maria Antonietta Ferrara; Gianfranco Coppola; Loredana Di Matteo; Laura Siani; Brian Dale; Giuseppe Coppola; Anna Chiara De Luca
Journal:  Sci Rep       Date:  2019-03-18       Impact factor: 4.379

3.  Reconstruction of bovine spermatozoa substances distribution and morphological differences between Holstein and Korean native cattle using three-dimensional refractive index tomography.

Authors:  Hao Jiang; Jeong-Woo Kwon; Sumin Lee; Yu-Jin Jo; Suk Namgoong; Xue-Rui Yao; Bao Yuan; Jia-Bao Zhang; Yong-Keun Park; Nam-Hyung Kim
Journal:  Sci Rep       Date:  2019-06-19       Impact factor: 4.379

4.  Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Authors:  Vishesh Dubey; Daria Popova; Azeem Ahmad; Ganesh Acharya; Purusotam Basnet; Dalip Singh Mehta; Balpreet Singh Ahluwalia
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

5.  High-resolution 4-D acquisition of freely swimming human sperm cells without staining.

Authors:  Gili Dardikman-Yoffe; Simcha K Mirsky; Itay Barnea; Natan T Shaked
Journal:  Sci Adv       Date:  2020-04-10       Impact factor: 14.136

6.  Human live spermatozoa morphology assessment using digital holographic microscopy.

Authors:  Marzena Kamieniczna; Ewa Stachowska; Agata Augustynowicz; Tomasz Woźniak; Maciej K Kurpisz
Journal:  Sci Rep       Date:  2022-03-22       Impact factor: 4.379

Review 7.  Advances in sperm analysis: techniques, discoveries and applications.

Authors:  Changsheng Dai; Zhuoran Zhang; Guanqiao Shan; Lap-Tak Chu; Zongjie Huang; Sergey Moskovtsev; Clifford Librach; Keith Jarvi; Yu Sun
Journal:  Nat Rev Urol       Date:  2021-06-01       Impact factor: 14.432

8.  Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure.

Authors:  Mikhail E Kandel; Marcello Rubessa; Yuchen R He; Sierra Schreiber; Sasha Meyers; Luciana Matter Naves; Molly K Sermersheim; G Scott Sell; Michael J Szewczyk; Nahil Sobh; Matthew B Wheeler; Gabriel Popescu
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-20       Impact factor: 11.205

9.  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

  9 in total

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