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基于图像灰度值波动的新型无标记细胞术鉴别白血病Jurkat细胞与正常淋巴细胞。

Discrimination of leukemic Jurkat cells from normal lymphocytes via novo label-free cytometry based on fluctuation of image gray values.

作者信息

Wohl Ishay, Zurgil Naomi, Hakuk Yaron, Sobolev Maria, Deutsch Mordechai

机构信息

The Biophysical Interdisciplinary Schottenstein Center for the Research and Technology of the Cellome, Physics Department, Bar Ilan University, 5290002, Ramat-Gan, Israel.

出版信息

Eur Biophys J. 2019 Apr;48(3):267-275. doi: 10.1007/s00249-019-01351-w. Epub 2019 Mar 22.

Abstract

We introduce a simple, label-free cytometry technique, based on the spatio-temporal fluctuation analysis of pixel gray levels of a cell image utilizing the Gray Level Information Entropy (GLIE) function. In this study, the difference in GLIE random fluctuations and its biophysical etiology in a comparison cell model of leukemic Jurkat cells and human healthy donor lymphocytes was explored. A combination of common bright field microscopy and a unique imaging dish wherein cells are individually held untethered in a picoliter volume matrix of optical chambers was used. Random GLIE fluctuations were found to be greater in malignant Jurkat cells than in benign lymphocytes, while these fluctuations correlate with intracellular vesicle Mean Square Displacement (MSD) values and are inhibited by myosin-2 and adenosine triphosphate (ATP) inhibitors. These results suggest that the incoherent active forces acting on the cytoskeleton which cause mechanical dissipative fluctuation of the cytoskeletal and related intracellular content are the biophysical cellular mechanism behind the GLIE random fluctuation results. Analysis of the results in Jurkat cells and normal lymphocytes suggests the possible potential of this simple and automated label-free cytometry to identify malignancy, particularly in a diagnostic setup of multiple cell examination.

摘要

我们介绍一种基于利用灰度信息熵(GLIE)函数对细胞图像像素灰度进行时空波动分析的简单、无标记细胞术技术。在本研究中,探讨了白血病Jurkat细胞与人类健康供体淋巴细胞比较细胞模型中GLIE随机波动的差异及其生物物理病因。使用了普通明场显微镜和一种独特的成像培养皿的组合,其中细胞被单独固定在皮升体积的光学腔室矩阵中且不受束缚。发现恶性Jurkat细胞中的随机GLIE波动大于良性淋巴细胞,而这些波动与细胞内囊泡的均方位移(MSD)值相关,并受到肌球蛋白-2和三磷酸腺苷(ATP)抑制剂的抑制。这些结果表明,作用于细胞骨架的非相干主动力导致细胞骨架及相关细胞内物质的机械耗散波动,是GLIE随机波动结果背后的生物物理细胞机制。对Jurkat细胞和正常淋巴细胞结果的分析表明,这种简单且自动化的无标记细胞术在识别恶性肿瘤方面具有潜在可能性,特别是在多细胞检查的诊断设置中。

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