Evidence map›Paper›PMID 33500606›Full record

ArticleIEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division2020

Motion Estimation for a Compact Electrostatic Microscanner via Shared Driving and Sensing Electrodes in Endomicroscopy.

Yi Chen, Miki Lee, Mayur Bhushan Birla, Haijun Li, Gaoming Li, Xiyu Duan, Thomas D Wang, Kenn R Oldham

Open access · greenAbstract read
In one paragraph

Article in IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Integrating Optics and Parametrically-Resonant Micro-Scanner Design for Large Working Distance Implantable Microscopy.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2025
    Article
  2. Article
  3. Article
  4. Image processing metrics for phase identification of a multiaxis MEMS scanner used in single pixel imaging.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2021
    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

8 authors at 1 institution in 1 country.

Yi ChenUniversity of Michigan, Ann Arbor, MI 48109, USA. He is currently with Midea ETC, 250 W Tasman Dr, Suite 190, San Jose, CA 95134, USA.
Miki LeeDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Mayur Bhushan BirlaDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Haijun LiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Gaoming LiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Xiyu DuanUniversity of Michigan, Ann Arbor, MI 48109, USA. He is currently with Apple Inc., Cupertino, CA 95014, USA.
Thomas D WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Kenn R OldhamDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
University of Michigan · US

Funding

Multi-Photon endomicroscope for real-time in vivo vertical sectioningR01EB020644 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OLDHAM, KENN R · 2015 to 2018
$1.3M
NIBIB NIH HHS R01 EB020644
6 · The paper itself

Abstract

We present a method to estimate high frequency rotary motion of a highly compact electrostatic micro-scanner using the same electrodes for both actuation and sensing. The accuracy of estimated rotary motion is critical for reducing blur and distortion in image reconstruction applications with the micro-scanner given its changing dynamics due to perturbations such as temperature. To overcome the limitation that no dedicated sensing electrodes are available in the proposed applications due to size constraints, the method adopts electromechanical amplitude modulation (EAM) to separate motion signal from parasitic capacitance feedthrough, and a novel non-linear measurement model is derived to characterize the relationship between large out-of-plane angular motion and circuit output. To estimate motion, an extended Kalman filter (EKF) and an unscented Kalman filter (UKF) are implemented, incorporating a process model based on the micro-scanner's parametric resonant dynamics and the measurement model. Experimental results show that compared to estimation without using the measurement model, our method is able to improve the rotary motion estimation accuracy of the micro-scanner significantly, with a reduction of root-mean-square error (RMSE) in phase shift of 86.1%, and a reduction of RMSE in angular position error of 78.5 %.

Indexed as

dynamic modelingextended Kalman filterMEMS scannersensor modelingunscented Kalman filter

Identifiers

PMID33500606
PMCPMC7831447
OpenAlexW3012391521

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.