Quantitative label-free sperm imaging by means of transport of intensity

Poola, Praveen Kumar; Pandiyan, Vimal Prabhu; Jayaraman, Varshini; John, Richard R.

doi:10.1117/12.2211608

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…For dataset preparation, TIE is being used for creating phase and intensity image pair 39 . In optical and electron microscopy, the TIE is a computational method for reconstructing the phase of a complex wave 40 . One of the main bottlenecks for DL algorithms is that it requires a large dataset, i.e., images for proper training.…”

Section: Introductionmentioning

confidence: 99%

“… 39 In optical and electron microscopy, the TIE is a computational method for reconstructing the phase of a complex wave. 40 One of the main bottlenecks for DL algorithms is that it requires a large dataset, i.e., images for proper training. Hence, during the experiments our focus was to generate an appropriate number of images for training the neural network.…”

Section: Introductionmentioning

confidence: 99%

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TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs

Thapa,

Galande,

Ram

et al. 2024

J. Biomed. Opt.

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Artificial intelligence (AI) has become a prominent technology in computational imaging over the past decade. The expeditious and label-free characteristics of quantitative phase imaging (QPI) render it a promising contender for AI investigation. Though interferometric methodologies exhibit potential efficacy, their implementation involves complex experimental platforms and computationally intensive reconstruction procedures. Hence, non-interferometric methods, such as transport of intensity equation (TIE), are preferred over interferometric methods.Aim: TIE method, despite its effectiveness, is tedious as it requires the acquisition of many images at varying defocus planes. The proposed methodology holds the ability to generate a phase image utilizing a single intensity image using generative adversarial networks (GANs). We present a method called TIE-GANs to overcome the multi-shot scheme of conventional TIE. Approach:The present investigation employs the TIE as a QPI methodology, which necessitates reduced experimental and computational efforts. TIE is being used for the dataset preparation as well. The proposed method captures images from different defocus planes for training. Our approach uses an image-to-image translation technique to produce phase maps and is based on GANs. The main contribution of this work is the introduction of GANs with TIE (TIE:GANs) that can give better phase reconstruction results with shorter computation times. This is the first time the GANs is proposed for TIE phase retrieval. Results:The characterization of the system was carried out with microbeads of 4 μm size and structural similarity index (SSIM) for microbeads was found to be 0.98. We demonstrated the application of the proposed method with oral cells, which yielded a maximum SSIM value of 0.95. The key characteristics include mean squared error and peak-signal-to-noise ratio values of 140 and 26.42 dB for oral cells and 100 and 28.10 dB for microbeads. Conclusions:The proposed methodology holds the ability to generate a phase image utilizing a single intensity image. Our method is feasible for digital cytology because of its reported high value of SSIM. Our approach can handle defocused images in such a way that it can take intensity image from any defocus plane within the provided range and able to generate phase map.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs

Thapa,

Galande,

Ram

et al. 2024

J. Biomed. Opt.

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“…9 Various implementations of QPI have been used recently to study the topography of gametes, assuming a certain refractive index. [10][11][12][13][14][15][16] Rappaz et al 17 reported an experimental procedure to calculate both the refractive index and the cellular thickness from the phase shift using digital holographic microscopy. The method relied on imaging the same cell in two solutions of different refractive index.…”

Section: Introductionmentioning

confidence: 99%

Topography and refractometry of sperm cells using spatial light interference microscopy

et al. 2018

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Characterization of spermatozoon viability is a common test in treating infertility. Recently, it has been shown that label-free, phase-sensitive imaging can provide a valuable alternative for this type of assay. We employ spatial light interference microscopy (SLIM) to perform high-accuracy single-cell phase imaging and decouple the average thickness and refractive index information for the population. This procedure was enabled by quantitative-phase imaging cells on media of two different refractive indices and using a numerical tool to remove the curvature from the cell tails. This way, we achieved ensemble averaging of topography and refractometry of 100 cells in each of the two groups. The results show that the thickness profile of the cell tail goes down to 150 nm and the refractive index can reach values of 1.6 close to the head.

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“…QPI is an emerging method that provides quantitative information about transparent specimens, with nanoscale sensitivity and in label-free mode 9 . Various implementations of QPI have been used recently to study the topography of gametes, assuming a certain refractive index [10][11][12][13][14][15][16] . Here, for the first-time to our knowledge, we measure independently the thickness and refractive index of the cells.…”

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confidence: 99%

Topography and refractometry of sperm cells using SLIM

Liu

Kandel

Rubessa

et al. 2017

Preprint

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Abstract. Characterization of spermatozoon viability is a common test in treating infertility. Recently, it has been shown that label-free, phase-sensitive imaging can provide a valuable alternative for this type of assay. Here, we employ spatial light interference microscopy (SLIM) to decouple the thickness and refractive index information of individual cells. This procedure was enabled by quantitative phase imaging cells on media of two different refractive indices and using a numerical tool to remove the curvature from the cell tails. This way, we achieved ensemble averaging of topography and refractometry of 100 cells in each of the two groups. The results show that the thickness profile of the cell tail goes down to 150 nm and the refractive index can reach values of 1.6 close to the head.

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Quantitative label-free sperm imaging by means of transport of intensity

Cited by 4 publications

References 27 publications

TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs

TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs

Topography and refractometry of sperm cells using spatial light interference microscopy

Topography and refractometry of sperm cells using SLIM

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