3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing

Seunghwan Yoo, Pablo Ruiz, Xiang Huang, Kuan He, Nicola J. Ferrier, Mark Hereld, Alan Selewa, Matthew Daddysman, Norbert Scherer, Oliver Strides Cossairt, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal planes. In this work we build on a recent reconstruction algorithm for MFM, using information from multiple frames to improve the reconstruction quality. We propose two multiple-frame MFM image reconstruction algorithms: batch and recursive approaches. In the batch approach, we take multiple MFM frames and jointly estimate the 3D image and the motion for each frame. In the recursive approach, we utilize the reconstructed image from the previous frame. Experimental results show that the proposed algorithms produce a sequence of 3D object reconstruction with high quality that enable reconstruction of dynamic extended objects.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1453-1457
Number of pages5
ISBN (Print)9781538646588
DOIs
StatePublished - Sep 10 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: Apr 15 2018Apr 20 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Other

Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
CountryCanada
CityCalgary
Period4/15/184/20/18

Fingerprint

Image reconstruction
Microscopes
Processing

Keywords

  • 3D image reconstruction
  • Multi-focus microscopy
  • Multi-frame image reconstruction
  • Total variation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Yoo, S., Ruiz, P., Huang, X., He, K., Ferrier, N. J., Hereld, M., ... Katsaggelos, A. K. (2018). 3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (pp. 1453-1457). [8462234] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8462234
Yoo, Seunghwan ; Ruiz, Pablo ; Huang, Xiang ; He, Kuan ; Ferrier, Nicola J. ; Hereld, Mark ; Selewa, Alan ; Daddysman, Matthew ; Scherer, Norbert ; Cossairt, Oliver Strides ; Katsaggelos, Aggelos K. / 3D Image Reconstruction from Multi-Focus Microscope : Axial Super-Resolution and Multiple-Frame Processing. 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1453-1457 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
@inproceedings{db4b4e7432784acd89419780a96ff8d5,
title = "3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing",
abstract = "Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal planes. In this work we build on a recent reconstruction algorithm for MFM, using information from multiple frames to improve the reconstruction quality. We propose two multiple-frame MFM image reconstruction algorithms: batch and recursive approaches. In the batch approach, we take multiple MFM frames and jointly estimate the 3D image and the motion for each frame. In the recursive approach, we utilize the reconstructed image from the previous frame. Experimental results show that the proposed algorithms produce a sequence of 3D object reconstruction with high quality that enable reconstruction of dynamic extended objects.",
keywords = "3D image reconstruction, Multi-focus microscopy, Multi-frame image reconstruction, Total variation",
author = "Seunghwan Yoo and Pablo Ruiz and Xiang Huang and Kuan He and Ferrier, {Nicola J.} and Mark Hereld and Alan Selewa and Matthew Daddysman and Norbert Scherer and Cossairt, {Oliver Strides} and Katsaggelos, {Aggelos K}",
year = "2018",
month = "9",
day = "10",
doi = "10.1109/ICASSP.2018.8462234",
language = "English (US)",
isbn = "9781538646588",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1453--1457",
booktitle = "2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings",
address = "United States",

}

Yoo, S, Ruiz, P, Huang, X, He, K, Ferrier, NJ, Hereld, M, Selewa, A, Daddysman, M, Scherer, N, Cossairt, OS & Katsaggelos, AK 2018, 3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing. in 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings., 8462234, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1453-1457, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, Calgary, Canada, 4/15/18. https://doi.org/10.1109/ICASSP.2018.8462234

3D Image Reconstruction from Multi-Focus Microscope : Axial Super-Resolution and Multiple-Frame Processing. / Yoo, Seunghwan; Ruiz, Pablo; Huang, Xiang; He, Kuan; Ferrier, Nicola J.; Hereld, Mark; Selewa, Alan; Daddysman, Matthew; Scherer, Norbert; Cossairt, Oliver Strides; Katsaggelos, Aggelos K.

2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1453-1457 8462234 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - 3D Image Reconstruction from Multi-Focus Microscope

T2 - Axial Super-Resolution and Multiple-Frame Processing

AU - Yoo, Seunghwan

AU - Ruiz, Pablo

AU - Huang, Xiang

AU - He, Kuan

AU - Ferrier, Nicola J.

AU - Hereld, Mark

AU - Selewa, Alan

AU - Daddysman, Matthew

AU - Scherer, Norbert

AU - Cossairt, Oliver Strides

AU - Katsaggelos, Aggelos K

PY - 2018/9/10

Y1 - 2018/9/10

N2 - Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal planes. In this work we build on a recent reconstruction algorithm for MFM, using information from multiple frames to improve the reconstruction quality. We propose two multiple-frame MFM image reconstruction algorithms: batch and recursive approaches. In the batch approach, we take multiple MFM frames and jointly estimate the 3D image and the motion for each frame. In the recursive approach, we utilize the reconstructed image from the previous frame. Experimental results show that the proposed algorithms produce a sequence of 3D object reconstruction with high quality that enable reconstruction of dynamic extended objects.

AB - Multi-focus microscope (MFM) provides a way to obtain 3D information by simultaneously capturing multiple focal planes. The naive method for MFM reconstruction is to stack the sub-images with alignment. However, the resolution in the z-axis in this method is limited by the number of acquired focal planes. In this work we build on a recent reconstruction algorithm for MFM, using information from multiple frames to improve the reconstruction quality. We propose two multiple-frame MFM image reconstruction algorithms: batch and recursive approaches. In the batch approach, we take multiple MFM frames and jointly estimate the 3D image and the motion for each frame. In the recursive approach, we utilize the reconstructed image from the previous frame. Experimental results show that the proposed algorithms produce a sequence of 3D object reconstruction with high quality that enable reconstruction of dynamic extended objects.

KW - 3D image reconstruction

KW - Multi-focus microscopy

KW - Multi-frame image reconstruction

KW - Total variation

UR - http://www.scopus.com/inward/record.url?scp=85054246055&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054246055&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2018.8462234

DO - 10.1109/ICASSP.2018.8462234

M3 - Conference contribution

SN - 9781538646588

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 1453

EP - 1457

BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Yoo S, Ruiz P, Huang X, He K, Ferrier NJ, Hereld M et al. 3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1453-1457. 8462234. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2018.8462234