Evidence map›Paper›PMID 41020697›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

An Automated Lab-On-A-Chip Approach for Pollen Tube Growth Manipulation in a Controlled Chemical Environment.

Jiawei Zhu, Marta Belloli, João P Vale, Vitaly Pustovalov, Peter Fischer, Hannes Vogler, Tiago S Mayor, Salvador Pané, Semih Sevim, Ueli Grossniklaus and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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

11 authors.

Jiawei ZhuMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.
Marta BelloliDepartment of Plant and Microbial Biology & Zurich-Basel Plant Science Center, University of Zurich, Zollikerstrasse 107, Zurich, 8008, Switzerland.
João P ValeTransport Phenomena Research Centre (CEFT), Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal.
Vitaly PustovalovMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.
Peter FischerInstitute of Food Nutrition and Health, ETH Zurich, Schmelzbergstrasse 9, Zurich, 8092, Switzerland.
Hannes VoglerDepartment of Plant and Microbial Biology & Zurich-Basel Plant Science Center, University of Zurich, Zollikerstrasse 107, Zurich, 8008, Switzerland.
Tiago S MayorTransport Phenomena Research Centre (CEFT), Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal.
Salvador PanéMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.ORCID https://orcid.org/0000-0003-0147-8287
Semih SevimMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.ORCID https://orcid.org/0000-0003-1461-1606
Ueli GrossniklausDepartment of Plant and Microbial Biology & Zurich-Basel Plant Science Center, University of Zurich, Zollikerstrasse 107, Zurich, 8008, Switzerland.
Bradley J NelsonMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.

Funding

European Union's H2020 668786European Union's H2020 801464Portugal, FCT/MCTES (PIDDAC) LA/P/0045/2020Portugal, FCT/MCTES (PIDDAC) UIDB/00532/2020Portugal, FCT/MCTES (PIDDAC) UIDP/00532/2020Swiss National Science Foundation under SNSF-Sinergia project no 198643
6 · The paper itself

Abstract

Laboratory automation is successfully implemented across a wide range of applications, from space exploration to oceanic research, facilitating data collection and analysis while improving precision in biological and medical fields. The future of robotic laboratory automation is closely tied to advancements in miniaturization. Thus, automation of lab-on-a-chip (LoC) systems-integrating complex laboratory tasks onto a small chip-holds great potential for scientific research, including the study of model organisms and cells. Here, an automated continuous-flow-based LoC device designed to investigate and manipulate the growth of pollen tubes (PTs)-fastest-growing cells in nature-within controlled chemical environments is presented. The automated LoC approach allows for the generation of tailored chemical gradients (e.g., of Ca

Indexed as

Automation, LaboratoryLab-On-A-Chip DevicesPollen TubeCalciumRoboticsCalciumautomated single cell experimentcontrolled chemical gradientslab automationlab‐on‐a‐chipmicrofluidicspollen tubessingle cell manipulation

Identifiers

PMID41020697
PMCPMC12631934

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.