Evidence map›Paper›PMID 42609747›Full record

ArticleIEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society

Automated Optofluidic Analysis of Single Extracellular Vesicles for Organoid Culture Monitoring.

Ravipa Losakul, Kateryna Voitiuk, Ruiting Xu, Spencer T Seiler, Viktor Yurevych, Thomas D Yuzvinsky, Andy Wang, Ivana Pačar, David Haussler, Sofie R Salama and 2 more

Abstract read
In one paragraph

Article in IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society. 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

12 authors.

Ravipa LosakulBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Kateryna VoitiukBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Ruiting XuBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Spencer T SeilerUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
Viktor YurevychUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
Thomas D YuzvinskyBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Andy WangBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Ivana PačarBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
David HausslerUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
Sofie R SalamaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.
Mircea TeodorescuBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.
Holger SchmidtBaskin School of Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA.

Funding

Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell GenomicsRM1HG011543 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, SALAMA, SOFIE REDA · 2021 to 2025
$12.0M
NHGRI NIH HHS RM1 HG011543
6 · The paper itself

Abstract

Advances in organoid-on-chip technology are transforming culturing methods by enabling precise control over biochemical environments and sustained nutrient delivery. Conventional methods for assessing organoid health are invasive, requiring skilled manual handling and sacrificing the tissue for analysis. We present a fully automated, integrated system for noninvasive extraction, labeling, and optical analysis of extracellular vesicles (EVs) secreted by 3D organoid cultures. EVs contain important molecular biomarker cargo, such as nucleic acids and proteins, enabling real-time insight on the health of their cell of origin. Using a polydimethylsiloxane (PDMS) optofluidic biosensor, we demonstrate: (1) optical detection of single EVs derived from organoid culture; (2) on-chip sample processing and counting of single EVs; and (3) automating conditioned media delivery, on-chip sample preparation, and optical detection of EVs in a single integrated system. Together, these results showcase a noninvasive approach to monitoring organoid health through EV signatures present in conditioned media. The integrated platform based on a modular optofluidic analysis chip further offers a foundation for integrating a variety of downstream analysis techniques, advancing continuous organoid-on-a-chip monitoring.

Indexed as

automationbiophotonicsbiosensorsoptofluidicsorganoids

Identifiers

PMID42609747
PMCPMC13479748

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.