CellSighter: a neural network to classify cells in highly multiplexed images.

Yael Amitay, Yuval Bussi, Ben Feinstein, Shai Bagon, Idan Milo, Leeat Keren

July 2023 Nat Commun

Synopsis of Social media discussions

Discussions highlight the innovative aspect of the neural network, with posts calling it a 'game changer' and emphasizing its ability to classify cells quickly and reliably, which suggests strong appreciation for its potential to improve existing workflows and advance research in tissue imaging.

A
Agreement
 Moderate agreement

Most discussions recognize the significance of the new neural network method, with some expressing enthusiasm for its capabilities and potential applications.

I
Interest
 High level of interest

The topic attracts high interest due to its relevance in bioinformatics and image analysis fields, as shown by references to symposium presentations and curated articles.

E
Engagement
 Moderate level of engagement

Participants engage with the technical aspects by sharing summaries, praising the tool’s accuracy, and noting its efficiency improvements.

I
Impact
 Moderate level of impact

There’s a consensus that this development could influence future research and streamline cell classification processes, indicating moderate to high impact.

Social Mentions

YouTube

1 Videos

Twitter

12 Posts

Metrics

Video Views

39

Total Likes

13

Extended Reach

158,590

Social Features

13

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

CellSighter: Deep Learning Tool for Cell Classification in Multiplexed Images

CellSighter: Deep Learning Tool for Cell Classification in Multiplexed Images

CellSighter is a deep learning tool designed to quickly and accurately classify cells in highly multiplexed tissue images, reducing the time and effort traditionally required for this task. It achieves over 80% accuracy and generalizes well across platforms.

STEM RTCL TV

October 19, 2023

39 views

  • Monika Mohenska
    @m_mohenska (Twitter)

    Yael Amitay presents: CellSighter: a neural network to classify cells in highly multiplexed images @WEHI_research Spatial Technology Symposium https://t.co/40dwXfgv1w
    view full post

    June 6, 2024

    1

  • Yang Fang
    @xiaoxiaoyangs (Twitter)

    RT @BioDecoded: CellSighter: a neural network to classify cells in highly multiplexed images | Nature Communications https://t.co/wvItK6cU3…
    view full post

    August 13, 2023

    2

  • Daedalus
    @whooves_s (Twitter)

    RT @BioDecoded: CellSighter: a neural network to classify cells in highly multiplexed images | Nature Communications https://t.co/wvItK6cU3…
    view full post

    August 11, 2023

    2

  • BioDecoded
    @BioDecoded (Twitter)

    CellSighter: a neural network to classify cells in highly multiplexed images | Nature Communications https://t.co/wvItK6cU3V #Bioinformatics https://t.co/dIHDu6oFBU
    view full post

    August 11, 2023

    9

    2

  • Sofia Costa
    @ASofiaHCosta (Twitter)

    RT @DrFAlzaid: Latest curated articles
    view full post

    August 4, 2023

    3

  • Gavin McStay
    @gavinmcstay2 (Twitter)

    RT @DrFAlzaid: Latest curated articles
    view full post

    August 4, 2023

    3

  • Bims: Biomed News
    @Bims_BiomedNews (Twitter)

    RT @DrFAlzaid: Latest curated articles
    view full post

    August 4, 2023

    3

  • Dr. Fawaz Alzaid
    @DrFAlzaid (Twitter)

    Latest curated articles
    view full post

    August 3, 2023

    3

    3

  • Heather Vincent (also on BlueSky)
    @heathermvincent (Twitter)

    CellSighter: a neural network to classify cells in highly multiplexed images https://t.co/AMFKuOORmy
    view full post

    July 19, 2023

  • BioNetPapers
    @bionet_papers (Twitter)

    CellSighter: a neural network to classify cells in highly multiplexed images https://t.co/WuopvZep1y
    view full post

    July 19, 2023

  • bioRxiv SysBio
    @biorxiv_sysbio (Twitter)

    CellSighter - A neural network to classify cells in highly multiplexed images https://t.co/3GARCUAa0w #biorxiv_sysbio
    view full post

    November 8, 2022

  • bioRxiv
    @biorxivpreprint (Twitter)

    CellSighter - A neural network to classify cells in highly multiplexed images https://t.co/ecQgL8Usg3 #bioRxiv
    view full post

    November 8, 2022

Abstract Synopsis

  • CellSighter is a deep learning tool designed to quickly and accurately classify cells in highly multiplexed tissue images, reducing the time and effort traditionally required for this task.
  • It can achieve over 80% accuracy in identifying major cell types, even with a small amount of training data, and generalizes well across different imaging platforms by learning both protein expression and spatial features.
  • The system provides confidence scores for its predictions, enabling experts to verify results, and ultimately streamlines the process of cell classification while maintaining high reliability.]