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定量相位成像在提高精准癌症医学中的应用展望。

Perspective on quantitative phase imaging to improve precision cancer medicine.

机构信息

University of Illinois Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, Department of Bioengineering, Department of Electrical and Computer Engineering, Urbana, Illinois, United States.

University of Pittsburgh, Departments of Medicine and Bioengineering, Pittsburgh, Pennsylvania, United States.

出版信息

J Biomed Opt. 2024 Jun;29(Suppl 2):S22705. doi: 10.1117/1.JBO.29.S2.S22705. Epub 2024 Mar 26.

Abstract

SIGNIFICANCE

Quantitative phase imaging (QPI) offers a label-free approach to non-invasively characterize cellular processes by exploiting their refractive index based intrinsic contrast. QPI captures this contrast by translating refractive index associated phase shifts into intensity-based quantifiable data with nanoscale sensitivity. It holds significant potential for advancing precision cancer medicine by providing quantitative characterization of the biophysical properties of cells and tissue in their natural states.

AIM

This perspective aims to discuss the potential of QPI to increase our understanding of cancer development and its response to therapeutics. It also explores new developments in QPI methods towards advancing personalized cancer therapy and early detection.

APPROACH

We begin by detailing the technical advancements of QPI, examining its implementations across transmission and reflection geometries and phase retrieval methods, both interferometric and non-interferometric. The focus then shifts to QPI's applications in cancer research, including dynamic cell mass imaging for drug response assessment, cancer risk stratification, and tissue imaging.

RESULTS

QPI has emerged as a crucial tool in precision cancer medicine, offering insights into tumor biology and treatment efficacy. Its sensitivity to detecting nanoscale changes holds promise for enhancing cancer diagnostics, risk assessment, and prognostication. The future of QPI is envisioned in its integration with artificial intelligence, morpho-dynamics, and spatial biology, broadening its impact in cancer research.

CONCLUSIONS

QPI presents significant potential in advancing precision cancer medicine and redefining our approach to cancer diagnosis, monitoring, and treatment. Future directions include harnessing high-throughput dynamic imaging, 3D QPI for realistic tumor models, and combining artificial intelligence with multi-omics data to extend QPI's capabilities. As a result, QPI stands at the forefront of cancer research and clinical application in cancer care.

摘要

意义

定量相位成像 (QPI) 通过利用细胞的折射率固有对比,提供了一种非侵入性的方法来对细胞过程进行特征化,而无需进行标记。QPI 通过将与折射率相关的相移转换为具有纳米级灵敏度的基于强度的可量化数据,从而捕获这种对比。它通过提供对细胞和组织的生物物理特性的定量描述,在其自然状态下为推进精准癌症医学提供了重要的潜力。

目的

本观点旨在讨论 QPI 提高我们对癌症发展及其对治疗反应的理解的潜力。它还探讨了 QPI 方法在推进个性化癌症治疗和早期检测方面的新进展。

方法

我们首先详细介绍 QPI 的技术进步,研究其在透射和反射几何结构以及干涉和非干涉相位恢复方法中的应用。然后,重点转向 QPI 在癌症研究中的应用,包括用于药物反应评估、癌症风险分层和组织成像的动态细胞质量成像。

结果

QPI 已成为精准癌症医学的重要工具,提供了对肿瘤生物学和治疗效果的深入了解。其检测纳米级变化的敏感性有望提高癌症诊断、风险评估和预后。未来的 QPI 设想是将其与人工智能、形态动力学和空间生物学相结合,扩大其在癌症研究中的影响。

结论

QPI 在推进精准癌症医学和重新定义我们的癌症诊断、监测和治疗方法方面具有重要的潜力。未来的方向包括利用高通量动态成像、用于真实肿瘤模型的 3D QPI 以及将人工智能与多组学数据相结合,以扩展 QPI 的功能。因此,QPI 站在癌症研究和癌症护理临床应用的前沿。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ea2/10996848/03e01987416d/JBO-029-S22705-g001.jpg

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