Evidence map›Paper›PMID 41228870›Full record

ArticleSensors (Basel, Switzerland)2025

Precise Control of Micropipette Flow Rate for Fluorescence Imaging in In Vivo Micromanipulation.

Ruimin Li, Shaojie Fu, Zijian Guo, Jinyu Qiu, Yuzhu Liu, Mengya Liu, Qili Zhao, Xin Zhao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

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

8 authors.

Ruimin LiInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0000-0003-1610-2864
Shaojie FuInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0009-0001-9604-3990
Zijian GuoInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0009-0000-7431-9899
Jinyu QiuInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0000-0001-8480-744X
Yuzhu LiuInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0009-0007-6714-979X
Mengya LiuInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0009-0008-4180-4554
Qili ZhaoInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0000-0002-9517-7460
Xin ZhaoInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.ORCID 0000-0003-0631-4628

Funding

National Natural Science Foundation of China 62027812National Natural Science Foundation of China 62273186Tianjin Science and Technology Major Project No.24ZXZSSS00420
6 · The paper itself

Abstract

Precise regulation of micropipette outlet flow is critical for fluorescence imaging in vivo micromanipulations. In such procedures, a micropipette with a micro-sized opening is driven by gas pressure to deliver internal solution into the in vivo environment. The outlet flow rate needs to be precisely regulated to ensure a uniform and stable fluorescence distribution. However, conventional manual pressure injection methods face inherent limitations, including insufficient precision and poor reproducibility. Existing commercial microinjection systems lack a quantitative relationship between pressure and flow rate. And existing calibration methods in the field of microfluidics suffer from a limited flow-rate measurement resolution, constraining the establishment of a precise pressure-flow quantitative relationship. To address these challenges, we developed a closed-loop pressure regulation system with 1 Pa-level control resolution and established a quantitative calibration of the pressure-flow relationship using a droplet-based method. The calibration revealed a linear relationship with a mean pressure-flow gain of 4.846 × 10-17m3·s-1·Pa-1 (R

Indexed as

MicroinjectionsMicromanipulationOptical ImagingAnimalsBrainCalibrationMiceMicrofluidicsPressureflow-rate calibrationfluorescence imagingfluorescent dye injectionin vivo manipulationmicropipette flow regulation

Identifiers

PMID41228870
PMCPMC12610376

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.