Detection and visualization improvement of spermatozoa cells by digital holography

Miccio, Lisa; Fińizio, Andrea; Memmolo, Pasquale; Paturzo, Melania; Merola, Francesco; Coppola, Giuseppe; Caprio, Giuseppe Di; Gioffrè, M.; Puglisi, Roberto; Balduzzi, Donatella; Galli, Andrea; Ferraro, Pietro

doi:10.1117/12.889972

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…On the other hand, due to the numerical propagation of the reconstructed object wavefront, QP-DHM allowing, one to apply autofocusing 32,110,[111][112][113][114]115 and extended depth of focus [116][117][118][119][120][121][122] has opened the possibility of efficiently monitoring cell migration in 3-D. 110,112,[123][124][125][126][127][128][129][130] In addition, these numerical possibilities offer an alternative to the shallow depth of field of conventional microscopy, which hampers any fast 3-D tracking of cells in their environment specifically when microfluidic devices are considered. 131,132 Coherently, autofocusing and extended depth of focus abilities also facilitate the 3-D tracking of micro-or nano-particles, 126,[133][134][135] particularly in combination with approaches capable of second harmonic generation, 136,137 the use of which is highly promising in medical fields including drug carrier, tumor detection and treatment, gene therapy.…”

Section: Exploration Of Cell Movements and Dynamicsmentioning

confidence: 99%

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders

2014

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Quantitative phase microscopy (QPM) has recently emerged as a new powerful quantitative imaging technique well suited to noninvasively explore a transparent specimen with a nanometric axial sensitivity. In this review, we expose the recent developments of quantitative phase-digital holographic microscopy (QP-DHM). Quantitative phase-digital holographic microscopy (QP-DHM) represents an important and efficient quantitative phase method to explore cell structure and dynamics. In a second part, the most relevant QPM applications in the field of cell biology are summarized. A particular emphasis is placed on the original biological information, which can be derived from the quantitative phase signal. In a third part, recent applications obtained, with QP-DHM in the field of cellular neuroscience, namely the possibility to optically resolve neuronal network activity and spine dynamics, are presented. Furthermore, potential applications of QPM related to psychiatry through the identification of new and original cell biomarkers that, when combined with a range of other biomarkers, could significantly contribute to the determination of high risk developmental trajectories for psychiatric disorders, are discussed.

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Section: Exploration Of Cell Movements and Dynamicsmentioning

confidence: 99%

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders

2014

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“…Furthermore, acquiring QPI data over a third axis, e.g., axially, angularly, spectrally resolved, allows us to extract tomographic reconstructions of unlabeled cells ( 21 – 25 ). Due to these capabilities, recently, QPI has been applied to imaging sperm cells as well ( 26 – 29 ). In particular, several studies used QPI for measuring sperm motility ( 27 , 30 – 33 ).…”

mentioning

confidence: 99%

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

Kandel

Rubessa

et al. 2020

Proc. Natl. Acad. Sci. U.S.A.

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The ability to evaluate sperm at the microscopic level, at high-throughput, would be useful for assisted reproductive technologies (ARTs), as it can allow specific selection of sperm cells for in vitro fertilization (IVF). The tradeoff between intrinsic imaging and external contrast agents is particularly acute in reproductive medicine. The use of fluorescence labels has enabled new cell-sorting strategies and given new insights into developmental biology. Nevertheless, using extrinsic contrast agents is often too invasive for routine clinical operation. Raising questions about cell viability, especially for single-cell selection, clinicians prefer intrinsic contrast in the form of phase-contrast, differential-interference contrast, or Hoffman modulation contrast. While such instruments are nondestructive, the resulting image suffers from a lack of specificity. In this work, we provide a template to circumvent the tradeoff between cell viability and specificity by combining high-sensitivity phase imaging with deep learning. In order to introduce specificity to label-free images, we trained a deep-convolutional neural network to perform semantic segmentation on quantitative phase maps. This approach, a form of phase imaging with computational specificity (PICS), allowed us to efficiently analyze thousands of sperm cells and identify correlations between dry-mass content and artificial-reproduction outcomes. Specifically, we found that the dry-mass content ratios between the head, midpiece, and tail of the cells can predict the percentages of success for zygote cleavage and embryo blastocyst formation.

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Digital Holographic Microscopy: A New Imaging Technique to Quantitatively Explore Cell Dynamics with Nanometer Sensitivity

Javidi

Tajahuerce

Andrés

2014

Multi‐Dimensional Imaging

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Detection and visualization improvement of spermatozoa cells by digital holography

Cited by 7 publications

References 6 publications

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders

Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders

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

Digital Holographic Microscopy: A New Imaging Technique to Quantitatively Explore Cell Dynamics with Nanometer Sensitivity

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