Abstract
Digital light processing (DLP) enables rapid fabrication of photocurable hydrogel microstructures, which serve as critical functional components in micro-optical systems and microrobotics, and whose performance depends on micron-scale morphological features and local stiffness. Traditional visual feedback methods provide horizontal data but struggle to quantify axial topography and local stiffness in real-time. Although digital holographic microscopy (DHM) offers advantages for sample characterization, its real-time capabilities are limited by the challenge of dynamically correcting for optical distortions. To address this, we present a real-time feedback control algorithm featuring a novel partial matrix Zernike fitting (PMZF) method. PMZF is analytically derived to estimate background phase distortion from partially occluded fields of view, enabling accurate phase reconstruction at 5 fps. With PMZF-based feedback, the system achieves 4.88 μm axial precision and 4.29 kPa stiffness precision, improving accuracy by 71.9% over open-loop DLP. Moreover, the spatially resolved control of stiffness within single microgels leads to region-specific fluorescent release, demonstrating a functional behavior not attainable with conventional printing. This work provides an effective closed-loop strategy for controlling both geometry and stiffness, paving the way for advanced functional devices in tissue engineering, MEMS, and beyond.
| Original language | English |
|---|---|
| Journal | IEEE/ASME Transactions on Mechatronics |
| DOIs | |
| Publication status | Accepted/In press - 2026 |
| Externally published | Yes |
Keywords
- Digital light processing
- microgel printing
- microstructural properties adjustment
- real-time holographic imaging feedback
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