Multiplexed image analysis: what have we achieved and where are we headed?

IF 36.1 1区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Nature Methods Pub Date : 2024-12-06 DOI:10.1038/s41592-024-02539-5

Yuval Bussi, Leeat Keren

引用次数: 0

Abstract

Multiplexed tissue imaging has transformed tissue biology by revealing cellular diversity and interactions, but the analysis of its massive datasets remains a bottleneck. Here, we provide an overview of computational advancements, discuss current challenges and envision an AI-driven future in which integrated tools streamline analysis and visualization, unlocking the full potential of multiplexed imaging for breakthroughs in spatial biology.

Abstract Image

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多路图像分析：我们取得了什么成就，我们将走向何方？

多路复用组织成像通过揭示细胞多样性和相互作用改变了组织生物学，但对其大量数据集的分析仍然是一个瓶颈。在这里，我们概述了计算的进步，讨论了当前的挑战，并设想了一个人工智能驱动的未来，在这个未来中，集成工具简化了分析和可视化，释放了多路成像的全部潜力，以实现空间生物学的突破。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Methods 生物-生化研究方法

CiteScore

58.70

自引率

1.70%

发文量

326

审稿时长

1 months

期刊介绍： Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.