Evidence map›Paper›PMID 42310789›Full record

ArticleGenome biology2026

SINTER3D: continuous 3D reconstruction of spatial transcriptomics via implicit neural representations.

Tianjiao Zhang, Shenghe Li, Hongfei Zhang, Ruolan Zhang, Zhongqian Zhao, Ruihan Wang, Xiaopeng Teng, Long Wan, Yucai Jiang, Jianyi Lyu and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Tianjiao ZhangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Shenghe LiSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Hongfei ZhangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Ruolan ZhangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Zhongqian ZhaoSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Ruihan WangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Xiaopeng TengSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Long WanSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Yucai JiangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Jianyi LyuSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Runqing WangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China.
Guohua WangSchool of Computer Science and Artificial Intelligence, Northeast Forestry University, No. 26 Hexing Road, Xiangfang District, Harbin, 150040, China. ghwang@nefu.edu.cn.

Funding

the Fundamental Research Funds for the Central Universities 2572025JT05-02the National Key Research and Development Program of China 2024YFF1206603the National Natural Science Foundation of China 62473094the National Science Foundation for Distinguished Young Scholars of China 62225109the Natural Science Foundation of Heilongjiang Province, China LH2024F003
6 · The paper itself

Abstract

Spatial transcriptomics enables gene-expression profiling while preserving spatial context, but three-dimensional reconstruction from discrete tissue sections remains limited by large inter-section gaps and gene-wise independent interpolation. We develop SINTER3D, an implicit neural representation-based framework for joint three-dimensional interpolation of multiple genes. SINTER3D models gene expression as continuous functions of three-dimensional coordinates, enabling virtual section generation, spatial-domain identification, and cell-type deconvolution. Across datasets including adult mouse brain, human dorsolateral prefrontal cortex, developing human heart, Drosophila embryo, and breast cancer tissues, SINTER3D outperforms existing methods and reconstructs biologically meaningful three-dimensional molecular structures.

Indexed as

Imaging, Three-DimensionalSoftwareAnimalsDrosophilaHumansMiceSpatial TranscriptomicsCell type deconvolutionImplicit neural representationMulti-slice integrationSpatial domain identificationSpatial transcriptomicsThree-dimensional reconstructionVirtual section generation

Identifiers

PMID42310789
PMCPMC13508360

What OpenQuestion holds

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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.