Multimodal Convolutional Neural Networks for Sperm Motility and Concentration Predictions

Malaysian Journal of Fundamental and Applied Sciences, Год журнала: 2024, Номер 20(2), С. 347 - 359

Опубликована: Апрель 24, 2024

Semen analysis is an important for male infertility primary investigation and manual semen a conventional method to assess it. Manual has been revealed with accuracy precision limitations due noncompliance guidelines procedures. Sperm motility concentration are the main indicators pregnancy conception rate hence they were selected parameters prediction. Convolutional neural network (CNN) benefited computer vision application industry in recent years widely applied research tasks. In this paper, three-dimensional CNN (3DCNN) was designed extract motion temporal features, which vital sperm For concentration, since two-dimensional (2DCNN) efficient recognizing extracting spatial well-established Residual Network (ResNet) architecture adopted customized Multimodal learning approach technique aggregate learnt features from different deep that other forms of modalities, could provide model better insights on their Hence, multimodal receive both image-based (frames extracted video samples) video-based (stacked frames pre-processed input well-extracted The results obtained using proposed methodology have surpassed similar works who used approach. motility, its best achieved average mean absolute error (MAE) 8.048, competent Pearson’s correlation coefficient (RP) value 0.853.

Язык: Английский

Tailoring esophageal tumor spheroids on a chip with inverse opal scaffolds for drug screening

Materials Futures, Год журнала: 2024, Номер 3(3), С. 035402 - 035402

Опубликована: Июль 17, 2024

Abstract Esophageal cancer (EC) is characterized by high morbidity and mortality, chemotherapy has become an indispensable means for comprehensive treatment. However, due to the limitation of effective in vitro disease model, development chemotherapeutic agents still faces great challenges. In this paper, we present a novel tumor spheroid on chip platform based inverse opal hydrogel scaffolds screen EC With microfluidic emulsion approach, were generated with tunable organized pores, which could provide spatial confinement cell growth. Thus, suspended KYSE-70 cells successfully form uniform spheroids scaffolds. It was demonstrated that recapitulate 3D growth patterns vivo exhibited higher sensitivity compared monolayer cells. Besides, employing into microfluidics construct esophageal chip, device realize high-throughput generation drug screening, indicating its promising role development.

Язык: Английский

Microfluidic Devices for Gamete Processing and Analysis, Fertilization and Embryo Culture and Characterization

Bioanalysis, Год журнала: 2024, Номер unknown, С. 233 - 273

Опубликована: Янв. 1, 2024

Язык: Английский