Aim: This study aims to determine the effects of hyperbaric oxygen therapy at different pressure values on cell morphology and cell survival in the MCF-7 breast cancer cell line. Materials and Methods: The experimental groups were formed by applying 100% oxygen to MCF-7 breast cancer cells at 1.5, 2, and 2.5 atmospheres for 2 hours. The control group did not receive treatment. At the end of the experiment, cell survival was investigated by CCK-8 analysis, cell shapes were determined by crystal violet staining, and cell surface morphologies were determined by scanning electron microscope. Results: Cell viability was significantly reduced at atmospheric pressure of 1.5, 2, and 2.5 compared to the control group (p < 0.005). As pressure increased, the surface area of the cell decreased, nuclear condensation increased, and the cell borders became irregular. Cell membrane bleb and cell membrane porosity increased at 2 and 2.5 atmospheres. Conclusion: Hyperbaric oxygen therapy severely reduces the viability of MCF-7 breast cancer cells under increased pressure. It can induce apoptosis and change the shape and surface morphology of MCF-7 breast cancer cells. Although further studies are needed, our study supports the potential use of hyperbaric oxygen therapy in the treatment of breast cancer.

Aim: This study aims to determine the effects of hyperbaric oxygen therapy at different pressure values on cell morphology and cell survival in the MCF-7 breast cancer cell line. Materials and Methods: The experimental groups were formed by applying 100% oxygen to MCF-7 breast cancer cells at 1.5, 2, and 2.5 atmospheres for 2 hours. The control group did not receive treatment. At the end of the experiment, cell survival was investigated by CCK-8 analysis, cell shapes were determined by cresyl violet staining, and cell surface morphologies were determined by scanning electron microscope. Results: Cell viability was significantly reduced at atmospheric pressure of 1.5, 2, and 2.5 compared to the control group (p &lt; 0.005). As pressure increased, the surface area of the cell decreased, nuclear condensation increased, and the cell borders became irregular. Cell membrane bleb and cell membrane porosity increased at 2 and 2.5 atmospheres. Conclusion: Hyperbaric oxygen therapy severely reduces the viability of MCF-7 breast cancer cells under increased pressure. It can induce apoptosis and change the shape and surface morphology of MCF-7 breast cancer cells. Although further studies are needed, our study supports the potential use of hyperbaric oxygen therapy in the treatment of breast cancer.

Determining oocyte quality is crucial for successful fertilization and embryonic development, and there is a serious correlation between live birth rates and oocyte quality. Parameters such as the regular/irregular formation of the cumulus cell layer around the oocyte, the number of cumulus cell layers and the homogeneity of the appearance of the ooplasm are used to determine the quality of the oocytes to be used in in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) methods. In this study, classification processes have been carried out using convolutional neural networks (CNN), a deep learning method, on the images of the cumulus-oocyte complex selected based on the theoretical knowledge and professional experience of embryologists. A convolutional neural network with a depth of 4 is used. In each depth level, one convolution, one ReLU and one max-pooling layer are included. The designed network architecture is trained using the Adam optimization algorithm. The cumulus-oocyte complexes (n=400) used in the study were obtained by using the oocyte aspiration method from the ovaries of the bovine slaughtered at the slaughterhouse. The CNN-based classification model developed in this study showed promising results in classifying three-class image data in terms of cumulus-oocyte complex classification. The classification model achieved high accuracy, precision, and sensitivity values on the test dataset. Continuous research and optimization of the model can further improve its performance and benefit the field of cumulus-oocyte complexes classification and oocyte quality assessment.