Evidence map›Paper›PMID 39865104›Full record

ArticleMicrosystems & nanoengineering2025

Fully automated in vivo screening system for multi-organ imaging and pharmaceutical evaluation.

Junhan Duan, Guanming Lin, Kangjian Jiao, Xiaohui Hong, Xudong Lin

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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

5 authors.

Junhan Duan *Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China.
Guanming Lin *Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China.
Kangjian JiaoGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China.
Xiaohui HongGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China.
Xudong LinGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, 518000, Shenzhen, China. linxd37@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82372088Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2021A1515010266Shenzhen Science and Technology Innovation Commission 202206193000001, 20220816161126002
6 · The paper itself

Abstract

Advancements in screening technologies employing small organisms have enabled deep profiling of compounds in vivo. However, current strategies for phenotyping of behaving animals, such as zebrafish, typically involve tedious manipulations. Here, we develop and validate a fully automated in vivo screening system (AISS) that integrates microfluidic technology and computer-vision-based control methods to enable rapid evaluation of biological responses of non-anesthetized zebrafish to molecular gradients. Via precise fluidic control, the AISS allows automatic loading, encapsulation, transportation and immobilization of single-larva in droplets for multi-organ imaging and chemical gradients generation inaccessible in previous systems. Using this platform, we examine the cardiac sensitivity of an antipsychotic drug with multiple concentration gradients, and reveal dramatic diversity and complexity in the accurate chemical regulation of cardiac functions in vivo. This proposed system expands the arsenal of tools available for in vivo screening and facilitates comprehensive profiling of pharmaceuticals.

Identifiers

PMID39865104
PMCPMC11770100

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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.