Evidence map›Paper›PMID 41279755›Full record

ArticlebioRxiv : the preprint server for biology2025

Fluid-Squid: DIY Multiplexed Imaging of Cells and Tissues.

John W Hickey, Hongquan Li, Chiara Caraccio, You Yan, Kevin Marx, Peter Martin, Hope T Leng, John Fayiah, Elvis Towalid, Bonnie Dighero-Kemp and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

John W HickeyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0001-9961-7673
Hongquan LiDepartment of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.
Chiara CaraccioDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
You YanCephla inc, Mountain View, CA, USA.
Kevin MarxDepartment of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.
Peter MartinCephla inc, Mountain View, CA, USA.
Hope T LengDepartment of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.
John FayiahLudwig Maximillian University, München, Bavaria, Germany.
Elvis TowalidUniversity of Liberia, Monrovia, Liberia.
Bonnie Dighero-KempDighero-Kemp Scientific Consulting LLC, Corvallis, OR, USA.
Garry P NolanDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Manu PrakashDepartment of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8046-8388
David R McIlwainDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Cancer-Translational Nanotechnology Training Program (Cancer-TNT)T32CA196585 · NCI · STANFORD UNIVERSITY · PI FELSHER, DEAN W, RAO, JIANGHONG · 2015 to 2019
$1.8M
NCI NIH HHS T32 CA196585
6 · The paper itself

Abstract

Recent advances in multiplexed single-cell characterization have revolutionized our insight into cell biology, but many available technologies remain limited by high costs or a lack of customizability. To address these challenges, we developed Fluid-Squid, a cost-effective, quantitative imaging platform that integrates automated fluidics to support customizable, do-it-yourself multiplexed imaging workflows. Using Fluid-Squid, we successfully imaged fresh frozen human intestinal tissues with a 36-plex oligonucleotide-barcoded antibody panel and further demonstrated the feasibility of lyophilizing such multiplexed panels. We also adapted existing multiplexed imaging workflows to characterize individual cells to identify immune cell populations, phenotype, and antigen-specific cells from mouse splenocytes and human peripheral blood mononuclear cells (PBMCs) with a 39-antibody panel. To further expand its utility, we developed a barcoding strategy that allows for the pooling and simultaneous staining of multiple samples, reducing time, costs, and batch effects in single-cell experiments. This approach facilitated rapid titration to optimize antibody concentrations and assess the impact of various blood preparation methods on cell type retention. Overall, our work provides a new open-source framework for automated fluidics and microscopy in a flexible, cost-effective platform, empowering adaptable multiplexed characterization of both single cells and tissues.

Identifiers

PMID41279755
PMCPMC12632534

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.