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Drug investigation tool: Identifying the effect of drug on cell image by using improved correlation
Software: Practice and Experience ( IF 3.5 ) Pub Date : 2020-10-08 , DOI: 10.1002/spe.2903
Muhammad Shahid Iqbal 1, 2 , Iftikhar Ahmad 3 , Muhammad Asif 4 , Sun‐Hee Kim 5 , Raja Majid Mehmood 6
Affiliation  

In the treatment of human cancer, the existing drug response identification and assessment methods have some issues, such as high cost, slow processing, and low accuracy. Responsive methods that easily and indirectly assess patient tissue response to drugs or small molecules offer promising options for improving drug safety, and they are able to identify the right treatment for specific patients. Digital image correlation is a good technique that detects a part of the image between two images. In this article, a new method of correlation called significant improvement of correlation (SIC) was proposed. Data were taken from the confocal microscopy of two‐photon excited fluorescence (TPEF) probe images taken every 5 min for short‐term monitoring (STM) and long‐term monitoring (LTM; 12, 24, and 48 hours). Cells were cultured, and a new compound TPEF was tested and injected the drug. The effect of drug on the TPEF compound was assessed through correlation. Experimental and simulation results showed that the proposed SIC was better than the conventional correlation method. Results also revealed that the first three images had 0.8% correlation in STM and LTM Image15 and Image10 had 0.49% correlation. The other images demonstrated minimum correlation. Thus, the effect of the newly made drug on the cell and image had a minimum correlation.

中文翻译:

药物调查工具:通过使用改进的相关性识别药物对细胞图像的影响

在人类癌症的治疗中,现有的药物反应识别和评估方法存在成本高、处理速度慢、准确性低等问题。容易和间接评估患者组织对药物或小分子的反应的响应方法为提高药物安全性提供了有希望的选择,并且它们能够为特定患者确定正确的治疗方法。数字图像相关是一种很好的技术,可以检测两幅图像之间的图像的一部分。在本文中,提出了一种新的相关性方法,称为相关性显着改善(SIC)。数据取自双光子激发荧光 (TPEF) 探针图像的共聚焦显微镜,每 5 分钟拍摄一次,用于短期监测 (STM) 和长期监测 (LTM;12、24 和 48 小时)。培养细胞,并测试并注射了一种新的化合物TPEF。通过相关性评估药物对TPEF化合物的影响。实验和仿真结果表明,所提出的 SIC 优于传统的相关方法。结果还显示,前三个图像在 STM 和 LTM Image15 和 Image10 中具有 0.8% 的相关性,具有 0.49% 的相关性。其他图像显示出最小的相关性。因此,新制备的药物对细胞和图像的影响具有最小的相关性。49% 的相关性。其他图像显示出最小的相关性。因此,新制备的药物对细胞和图像的影响具有最小的相关性。49% 的相关性。其他图像显示出最小的相关性。因此,新制备的药物对细胞和图像的影响具有最小的相关性。
更新日期:2020-10-08
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