Evidence map›Paper›PMID 36850772›Full record

ArticleSensors (Basel, Switzerland)2023

High-Quality 3D Visualization System for Light-Field Microscopy with Fine-Scale Shape Measurement through Accurate 3D Surface Data.

Ki Hoon Kwon, Munkh-Uchral Erdenebat, Nam Kim, Anar Khuderchuluun, Shariar Md Imtiaz, Min Young Kim, Ki-Chul Kwon

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Ki Hoon KwonSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0003-3357-0838
Munkh-Uchral ErdenebatSchool of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0001-6941-8577
Nam KimSchool of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0001-8109-2055
Anar KhuderchuluunSchool of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
Shariar Md ImtiazSchool of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0002-7001-1667
Min Young KimSchool of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.ORCID 0000-0001-7263-3403
Ki-Chul KwonSchool of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.ORCID 0000-0003-0334-504X

Funding

National Research Foundation of Korea NRF-2018R1D1A3B07044041National Research Foundation of Korea NRF- 2020R1A2C1101258National Research Foundation of Korea NRF- 2022R1A2C2008133
6 · The paper itself

Abstract

We propose a light-field microscopy display system that provides improved image quality and realistic three-dimensional (3D) measurement information. Our approach acquires both high-resolution two-dimensional (2D) and light-field images of the specimen sequentially. We put forward a matting Laplacian-based depth estimation algorithm to obtain nearly realistic 3D surface data, allowing the calculation of depth data, which is relatively close to the actual surface, and measurement information from the light-field images of specimens. High-reliability area data of the focus measure map and spatial affinity information of the matting Laplacian are used to estimate nearly realistic depths. This process represents a reference value for the light-field microscopy depth range that was not previously available. A 3D model is regenerated by combining the depth data and the high-resolution 2D image. The element image array is rendered through a simplified direction-reversal calculation method, which depends on user interaction from the 3D model and is displayed on the 3D display device. We confirm that the proposed system increases the accuracy of depth estimation and measurement and improves the quality of visualization and 3D display images.

Indexed as

3D visualizationdepth estimationfine-scale shape measurementintegral imaginglight fieldlight-field microscopy

Identifiers

PMID36850772
PMCPMC9967073

What OpenQuestion holds

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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.