Evidence map›Paper›PMID 36698679›Full record

ArticleBiomedical optics express2023

Label-free full-field Doppler phase microscopy based on optical computation.

Yuwei Liu, Shupei Yu, Yuanwei Zhang, Xuan Liu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Yuwei LiuDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey, 07105, USA.
Shupei YuDepartment of Cheminstry and Environmental Science, New Jersey Institute of Technology, University Heights, Newark, New Jersey, 07105, USA.
Yuanwei ZhangDepartment of Cheminstry and Environmental Science, New Jersey Institute of Technology, University Heights, Newark, New Jersey, 07105, USA.
Xuan LiuDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey, 07105, USA.
New Jersey Institute of Technology · US

Funding

Optically computed compressive OCT for ultra-high speed phase-resolved dynamic imagingR21GM140438 · NIGMS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI LIU, XUAN · 2021 to 2022
$422k
NIGMS NIH HHS R21 GM140438
6 · The paper itself

Abstract

The capability to image subtle mechanical motion at cellular and sub-cellular scales can be used to study how extracellular particles interact with cultured cells and, more generally, how cells interact with their environment. However, current technologies need to provide sufficient spatial resolution, temporal resolution, and motion sensitivity to image cellular and sub-cellular motion in the en face plane. To address this unmet need, we investigate a full-field Doppler phase microscopy (FF-DPM) technology based on an innovative optical computation strategy that enables depth-resolved imaging and phase quantification. In this study, we validated the motion tracking (displacements and velocities) capability of FF-DPM by imaging samples actuated by a piezo transducer (PZT). We demonstrated FF-DPM imaging of magnetic particles under different conditions with different motion characteristics. Our results show that free particles (suspended in a cell culture medium) had a significantly larger magnitude of motion than particles adhered to a cell. The key innovation of this study is the use of an optical computation strategy to perform depth-resolved phase quantification and Doppler measurement. The FF-DPM will have a significant impact, as it provides a unique capability to quantitatively measure subtle motion for models based on cultured cells.

Identifiers

PMID36698679
PMCPMC9842006
OpenAlexW4311230249

What OpenQuestion holds

Textmetadata
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.