Evidence map›Paper›PMID 40667327›Full record

ArticlebioRxiv : the preprint server for biology2025

Deep Neural Networks to Register and Annotate Cells in Moving and Deforming Nervous Systems.

Adam A Atanas, Alicia Kun-Yang Lu, Brian Goodell, Jungsoo Kim, Saba Baskoylu, Di Kang, Talya S Kramer, Eric Bueno, Flossie K Wan, Karen L Cunningham and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
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

5 · Who and what money

Authors and funding

12 authors.

Adam A AtanasPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Alicia Kun-Yang LuPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Brian GoodellPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jungsoo KimPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Saba BaskoyluPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Di KangPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Talya S KramerPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Eric BuenoPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Flossie K WanPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
Karen L CunninghamPicower Institute for Learning & Memory, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Brandon WeissbourdPicower Institute for Learning & Memory, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Steven W FlavellPicower Institute for Learning & Memory, Department of Brain & Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

Neural Mechanisms that Underlie Flexible Sensory Control of Behavioral States in C. elegansR01DC020484 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Steven Willem Flavell · 2023 to 2026
$1.5M
Brain-Wide Representations of Behavior During Aversive Internal States in C. ElegansR01NS131457 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Steven Willem Flavell · 2023 to 2026
$1.5M
Dissecting the functional organization of the serotonergic system in C. elegansR01GM135413 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FLAVELL, STEVEN WILLEM · 2020 to 2023
$1.2M
NIDCD NIH HHS R01 DC020484NIGMS NIH HHS R01 GM135413NINDS NIH HHS R01 NS131457
6 · The paper itself

Abstract

Aligning and annotating the heterogeneous cell types that make up complex cellular tissues remains a major challenge in the analysis of biomedical imaging data. Here, we present a series of deep neural networks that allow for automatic non-rigid registration and cell identification, developed in the context of freely moving and deforming invertebrate nervous systems. A semi-supervised learning approach was used to train a

Identifiers

PMID40667327
PMCPMC12262252

What OpenQuestion holds

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Registered trials

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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.