Dynamic 3D profiling of microscale surface using a MEMS mirror laser differential confocal microscope

Qingjiu Chen (Co-first Author), Donghai Yang, Feifei Wang* (Co-first Author), Wen Jung Li*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Downloads (CityUHK Scholars)

Abstract

Several advanced techniques have been used for 3D micro-surface profiling, such as white light interferometry, confocal microscopy, and atomic force microscopy. However, a major technological limitation shared among these methods is the difficulty of imaging dynamic samples in real-time at high resolution. Specifically, profiling rapidly changing or moving surfaces at nanoscale 3D spatial resolution remains a challenging task. We demonstrate here a high-speed MEMS mirror-based laser differential confocal microscope for dynamic 3D micro-surface profiling. The MEMS mirror enables 2D scanning of 1200 × 650 pixels with a 140 × 90 μm field of view at 80 frames per second. Using laser differential confocal detection, the system achieves 25 nm axial resolution. The objective-space telecentric laser projection results in uniform axial response across the field of view, simplifying data acquisition and processing. These capabilities enable real-time 3D micro/nano scale profiling of dynamically changing surfaces at 80 frames per second without requiring motion stages. The system’s substantial increase in imaging throughput enables, for the first time, real-time 3D profiling of dynamic microscale surface topographies at nanometer-level axial resolutions. The high-speed 3D profiling enabled by this system provides new insights for process development and quality control in precision micro/nano fabrication. © The Author(s) 2025.
Original languageEnglish
Article number25957
JournalScientific Reports
Volume15
Online published17 Jul 2025
DOIs
Publication statusPublished - 2025

Funding

This research work was partially supported by Hong Kong Research Grants Council, General Research Fund (Project No. 11216120).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Confocal microscopy
  • Dynamic 3D surface profiling
  • Optical 3D sensing
  • Scanning MEMS mirror

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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