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Cancer is one of the most common diseases to threaten human health. If individuals are diagnosed with malignant tumors via a single cell, medical workers are greatly advantageous to early diagnose and intervene in malignant tumors therapy. In this paper, we propose a fluorescence detection map to rapidly distinguish whether the chromosomes of a cell are normal or abnormal by detecting the fluorescent intensity of a single cell. Herein, we draw a map from a single cell with an abnormal number of chromosomes that is monitored in real time. Moreover, this way offers precise and prompt detection of the surviving of cancer cells at or near the site of the tumor after treatments for cancer, which can achieve personalized cancer diagnosis and therapy. Therefore, cancer recurrences and metastasis can be effectively identified, utilizing this ultrasensitive detection method of an abnormal chromosome number.
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A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. For reconstruct
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In this paper, normal incidence vertical p-i-n photodetectors on a germanium-on-insulator (GOI) platform were demonstrated. The vertical p-i-n structure was realized by ion-implanting boron and arsenic at the bottom and top of the Ge layer, respectively,
提出了一种新的相位去包裹算法,主要针对那些条纹数少,条纹质量相对较好,仅仅是由于少数低调制度点、散斑点、噪声或灰尘引起的去包裹失败的情形。该算法基于一维FFT(快速傅里叶变换),简单且易于实现。
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To solve the problem of calibrating the polarimeter module, we design a vector projection (VP) method which is based on the theorem of vector projection and the principle of calibration. The calibration matrix can be calculated by VP method with the given
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