Evidence map›Paper›PMID 41648487›Full record

ArticlebioRxiv : the preprint server for biology2026

A Modular In-Incubator Microscope for Longitudinal Live Cell Microscopy.

Drew Ehrlich, Yohei Rosen, Santhosh Arul, John Minnick, Seth Nicholson, Kateryna Voitiuk, Spencer Seiler, Anna Toledo, Samira Vera-Choqqueccota, Neil Doherty and 10 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

20 authors.

Drew EhrlichDepartment of Computational Media, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-6794-6800
Yohei RosenUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-3870-2169
Santhosh ArulDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-9617-1319
John MinnickUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0003-2593-6342
Seth NicholsonUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0009-0009-3999-9302
Kateryna VoitiukUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-6392-5188
Spencer SeilerUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-0087-1346
Anna ToledoDepartment of Performance, Play and Design, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0009-0004-2066-520X
Samira Vera-ChoqqueccotaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-9554-5617
Neil DohertyDepartment of Molecular, Cellular, and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0009-0007-6260-5346
Jess SevetsonUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-7434-1447
Max McGlynnUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0009-0007-9019-7378
Kivilcim DoganyigitUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0009-0003-4607-9594
Maryam MoarefianUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-1875-0614
Sri KurniawanDepartment of Computational Media, University of California, Santa Cruz, Santa Cruz, CA, USA.
Mohammed A Mostajo-RadjiUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-1634-7514
Sofie R SalamaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-6999-7193
Ethan WinklerDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7908-7107
David HausslerUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0003-1533-4575
Mircea TeodorescuUC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0001-7085-5248

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
Data Resource and Administrative Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes ConsortiumU24MH132628 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI DAVID H HAUSSLER, Tomasz Nowakowski · 2023 to 2026
$7.9M
IRACDA at UCSC and CSUMBK12GM139185 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI FORSBERG, CAMILLA, HINCK, LINDSAY E · 2020 to 2024
$4.1M
Human Brain Single-Cell Genomics ExplorerU24NS146314 · NINDS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, ZHU, JINGCHUN · 2025 to 2025
$3.7M
Training Program in Molecular, Cell, and Developmental BiologyT32GM133391 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Needhi Bhalla · 2019 to 2026
$3.0M
NHGRI NIH HHS RM1 HG011543NIGMS NIH HHS K12 GM139185NIGMS NIH HHS T32 GM133391NIMH NIH HHS U24 MH132628NINDS NIH HHS U24 NS146314
6 · The paper itself

Abstract

Longitudinal live cell imaging is valuable for characterizing dynamic morphological and phenotypic changes in biological systems. However, conventional approaches rely on manual microscope operation, which is labor-intensive, limits imaging frequency, and disrupts the cellular environment. These constraints reduce scalability, increase experimental variability, and restrict both the duration and temporal resolution of continuous imaging. Although automated imaging platforms partially address these limitations, existing solutions are often constrained by the cost, footprint, and inflexibility of in-incubator microscopes or stage-top incubators. Here, we present an automated in-incubator epifluorescence microscope designed for long-term operation. The system features a modular architecture with optional multi-fluorescence imaging, automated plate scanning, configurable light sources, and compatibility with multiple plate formats, including integration with fluidic automation devices. By positioning the light sources and control electronics outside the incubator, the platform improves thermal stability and long-term operational reliability. This approach enables continuous, high-frequency imaging over extended durations, providing a source of rich data for quantifying time-dependent tissue phenotypes, morphological remodeling, and transient biological processes.

Indexed as

Cell BiologyMicroscopyOpen Hardware

Identifiers

PMID41648487
PMCPMC12871646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.