Evidence map›Paper›PMID 25906244›Full record

ArticlePloS one2015

Optical data compression in time stretch imaging.

Claire Lifan Chen, Ata Mahjoubfar, Bahram Jalali

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Feature Enhancement in Visually Impaired Images.IEEE access : practical innovations, open solutions · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Design of Warped Stretch Transform.Scientific reports · 2015
    Article
  13. 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

3 authors.

Claire Lifan ChenDepartment of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America; California NanoSystems Institute, Los Angeles, California, United States of America.
Ata MahjoubfarDepartment of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America; California NanoSystems Institute, Los Angeles, California, United States of America.
Bahram JalaliDepartment of Electrical Engineering, University of California Los Angeles, Los Angeles, California, United States of America; California NanoSystems Institute, Los Angeles, California, United States of America; Department of Bioengineering, University of California Los Angeles, Los Angeles, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.

Indexed as

Data CompressionHumansImage Processing, Computer-AssistedOptical Imaging

Identifiers

PMID25906244
PMCPMC4408077

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.