Many of these are mediated through the increase in the intracellular concentration of the second messenger, calcium ions. During physiological cellular processes, chemical or physical stimuli activate intracellular signals that result in changes in cellular biochemical activities. In recent decades, to enhance the diagnosis of cancer, quantitative analysis of the invasion potential of cancer cells has been performed by examining the dynamics of intracellular calcium ions in cancer cells. However, the mortality rate has been gradually decreasing due to the development of new technologies providing a more accurate diagnosis.
According to the 2017 annual report of the American Cancer Society, 1,688,780 cases were diagnosed with cancer in the United States, and the mortality rate was estimated to be around 36%. Introduction 1.1 MotivationĬancer is a disease characterized by unnatural cell growth, cell migration, and cell invasion. © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement 1.
The results show that the algorithm offers similar performance to the manual calcium analysis method for determining the invasiveness of cancer cells, suggesting that it may serve as a novel tool to automatically determine the invasiveness of cancer cells with high-efficiency. For the evaluation of the algorithm, it is applied to quantify the invasiveness of breast cancer cells. Also, a detection/quantification algorithm is developed and implemented to automatically determine the invasiveness of a trapped cell. The MM-Net outperforms other deep learning models in the cell segmentation. For better segmentation of calcium fluorescent cells even with vague boundaries, a novel deep learning architecture with multi-scale/multi-channel convolution operations (MM-Net) is devised and constructed by a target inversion training method. The algorithm allows to segment cells, find trapped cells, and quantify their calcium changes over time.
We, therefore, develop a fully-automatic deep learning-based calcium image analysis algorithm for determining the invasiveness of suspended breast cancer cells using a single-beam acoustic trapping system. However, for the rapid translation of the technology into the clinic, the development of an efficient/accurate analytical method is needed. Note: Author names will be searched in the keywords field, also, but that may find papers where the person is mentioned, rather than papers they authored.Ī single-beam acoustic trapping technique has been shown to be very useful for determining the invasiveness of suspended breast cancer cells in an acoustic trap with a manual calcium analysis method.Use a comma to separate multiple people: J Smith, RL Jones, Macarthur.Use these formats for best results: Smith or J Smith.For best results, use the separate Authors field to search for author names.Use quotation marks " " around specific phrases where you want the entire phrase only.Question mark (?) - Example: "gr?y" retrieves documents containing "grey" or "gray".Asterisk ( * ) - Example: "elect*" retrieves documents containing "electron," "electronic," and "electricity".Improve efficiency in your search by using wildcards.
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