Evidence map›Paper›PMID 41279238›Full record

ArticlebioRxiv : the preprint server for biology2025

Parallelized Brightfield and Fluorescence Imaging of Organoids Using a Scalable Multi-Camera Platform.

Kanghyun Kim, Rubal Singla, Amey Chaware, Jieun Park, Ina Klockner, Josh Lerner, Kevin Li, Fanghong Shen, Clay Dugo, Paul Reamey and 4 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

14 authors.

Kanghyun KimDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0002-4557-9525
Rubal SinglaUNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Amey ChawareDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Jieun ParkUNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ina KlocknerUNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Josh LernerDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Kevin LiDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Fanghong ShenDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Clay DugoRamona Optics Inc., Durham, NC, USA.
Paul ReameyRamona Optics Inc., Durham, NC, USA.
Aurélien BègueRamona Optics Inc., Durham, NC, USA.
Mark HarfoucheRamona Optics Inc., Durham, NC, USA.
Jason L SteinUNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-4829-0513
Roarke HorstmeyerDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.

Funding

Parallelized Imaging and Automated Analysis of Zebrafish Assays with a Gigapixel MicroscopeR44OD024879 · OD · RAMONA OPTICS, INC. · PI HARFOUCHE, MARK · 2018 to 2022
$3.5M
IBIS-iPSC: Organoid modeling of cortical surface area hyperexpansion in autism spectrum disorderR01MH130441 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jason Louis Stein · 2023 to 2026
$3.1M
Rapid 3D Whole-Slide Digitization of Thick Cytopathology Slides with a Gigapixel MicroscopeR44CA250877 · NCI · RAMONA OPTICS, INC. · PI HARFOUCHE, MARK · 2020 to 2022
$2.4M
A parallelized computational microscope platform for high-throughput live imaging of patient-derived organoidsR44CA285197 · NCI · RAMONA OPTICS, INC. · PI Mark Harfouche · 2024 to 2026
$2.4M
AD GxE: In vivo and in vitro modeling of gene x environment interactionsU01AG088667 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jason Louis Stein · 2024 to 2026
$2.2M
A parallelized imaging platform for accurate and efficient long-term assessment of brain organoid developmentR43MH133521 · NIMH · RAMONA OPTICS, INC. · PI HARFOUCHE, MARK · 2024 to 2025
$950k
NCI NIH HHS R44 CA250877NCI NIH HHS R44 CA285197NIA NIH HHS U01 AG088667NIH HHS R44 OD024879NIMH NIH HHS R01 MH130441NIMH NIH HHS R43 MH133521
6 · The paper itself

Abstract

Organoid viability, maturation, and growth is commonly assayed through brightfield and fluorescence microscopy using a single objective lens. However, standard microscopic imaging systems pose significant limitations for high-throughput applications, particularly in large-scale experiments where simultaneous imaging of multiple organoids requires increased throughput. There is a strong need for systems that can capture organoid growth rapidly and consistently while minimizing disturbances to culture conditions. Here, we present a novel multi-camera array scanner (MCAS) that parallelizes imaging through the simultaneous use of 48 objective lenses and sensors, resulting in a 95% reduction in acquisition times compared to commercial high-content imagers. We demonstrate and validate this system in multiple well plate formats, in both 2D and 3D neural cell cultures, and in brightfield and fluorescence. The MCAS improves efficiency for measuring organoid growth rates, assessing responses to morphogens and drugs, and measuring viral transduction efficiency. Together, these findings establish the MCAS as a scalable and versatile imaging platform for rapid phenotyping in organoid research.

Indexed as

Automation technologyCortical brain organoidsDrug screeningFluorescent imagingHigh-throughput imagingMicroscopy

Identifiers

PMID41279238
PMCPMC12632641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.