Evidence map›Paper›PMID 28270973›Full record

ArticleBiomedical optics express2017

Time-stretch microscopy on a DVD for high-throughput imaging cell-based assay.

Anson H L Tang, P Yeung, Godfrey C F Chan, Barbara P Chan, Kenneth K Y Wong, Kevin K Tsia

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Anson H L TangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
P YeungDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
Godfrey C F ChanDepartment of Paediatrics & Adolescent Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.
Barbara P ChanDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
Kenneth K Y WongDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
Kevin K TsiaDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-based assay based on time-stretch imaging is recognized to be well-suited for high-throughput phenotypic screening. However, this ultrafast imaging technique has primarily been limited to suspension-cell assay, leaving a wide range of solid-substrate assay formats uncharted. Moreover, time-stretch imaging is generally restricted to intrinsic biophysical phenotyping, but lacks the biomolecular signatures of the cells. To address these challenges, we develop a spinning time-stretch imaging assay platform based on the functionalized digital versatile disc (DVD). We demonstrate that adherent cell culture and biochemically-specific cell-capture can now be assayed with time-stretch microscopy, thanks to the high-speed DVD spinning motion that naturally enables on-the-fly cellular imaging at an ultrafast line-scan rate of >10MHz. As scanning the whole DVD at such a high speed enables ultra-large field-of-view imaging, it could be favorable for scaling both the assay throughput and content as demanded in many applications, e.g. drug discovery, and rare cancer cell screening.

Indexed as

(110.0110) Imaging systems(170.0180) Microscopy(170.3880) Medical and biological imaging(170.7160) Ultrafast technology

Identifiers

PMID28270973
PMCPMC5330545

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.