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

Yuval Bussi; Leeat Keren

doi:10.1038/s41592-024-02539-5

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

Yuval Bussi, Leeat Keren

Department of Molecular Cell Biology

Weizmann Institute of Science

Research output: Contribution to journal › Comment/debate › peer-review

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.

Original language	English
Pages (from-to)	2212-2215
Number of pages	4
Journal	Nature Methods
Volume	21
DOIs	https://doi.org/10.1038/s41592-024-02539-5
State	Published - 6 Dec 2024

All Science Journal Classification (ASJC) codes

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

Access to Document

10.1038/s41592-024-02539-5

Cite this

@article{7a41b3961a0443828a6f42bb2bcf143e,

title = "Multiplexed image analysis: what have we achieved and where are we headed?",

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.",

author = "Yuval Bussi and Leeat Keren",

note = "Publisher Copyright: {\textcopyright} Springer Nature America, Inc. 2024.",

year = "2024",

month = dec,

day = "6",

doi = "10.1038/s41592-024-02539-5",

language = "الإنجليزيّة",

volume = "21",

pages = "2212--2215",

journal = "Nature Methods",

issn = "1548-7091",

publisher = "Nature Research",

}

TY - JOUR

T1 - Multiplexed image analysis

T2 - what have we achieved and where are we headed?

AU - Bussi, Yuval

AU - Keren, Leeat

PY - 2024/12/6

Y1 - 2024/12/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85211374463&partnerID=8YFLogxK

U2 - 10.1038/s41592-024-02539-5

DO - 10.1038/s41592-024-02539-5

M3 - تعليقَ / نقاش

SN - 1548-7091

VL - 21

SP - 2212

EP - 2215

JO - Nature Methods

JF - Nature Methods

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this