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

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

PMC · DOI: 10.3390/s25216647 · 2025-10-30

## TL;DR

A new system for controlling micropipette flow rates improves precision in fluorescence imaging during in vivo experiments.

## Contribution

A closed-loop pressure regulation system with high-resolution flow control and a novel droplet-based calibration method.

## Key findings

- The system achieved a flow control error of less than 10 fL/s.
- Fluorescence intensity fluctuations were maintained at around 1.3% in brain-slice experiments.
- A linear pressure–flow relationship was established with R2 > 0.99.

## 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 (R2 > 0.99). Validation results demonstrated that the system achieved the target outlet flow rate with a flow control error less than 10 fL/s. Finally, the application results in brain-slice environment confirmed its capability to maintain stable fluorescence imaging, with fluorescence intensity fluctuations around 1.3%. These results demonstrated that the proposed approach provides stable, precise, and reproducible flow regulation under physiologically relevant conditions, thereby offering a valuable tool for in vivo micromanipulation and detection.

## Full-text entities

- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** silicone oil (MESH:D012827), Pd (MESH:D010165), isoflurane (MESH:D007530), CaCl2 (MESH:D002122), NaCl (MESH:D012965), MgCl2 (MESH:D015636), Nitrogen (MESH:D009584), CO2 (MESH:D002245), EGTA (MESH:D004533), Mg-ATP (MESH:D000255), KCl (MESH:D011189), C6H12O6 (MESH:D005947), K-gluconate (-), HEPES (MESH:D006531), oil (MESH:D009821)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** C57BL/6 — Mus musculus (Mouse), Transformed cell line (CVCL_C0MU)

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12610376/full.md

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Source: https://tomesphere.com/paper/PMC12610376