Evidence map›Paper›PMID 36483021›Full record

ArticleBiomicrofluidics2022

I-LIFT (image-based laser-induced forward transfer) platform for manipulating encoded microparticles.

Sumin Lee, Wooseok Lee, Amos Chungwon Lee, Juhong Nam, JinYoung Lee, Hamin Kim, Yunjin Jeong, Huiran Yeom, Namphil Kim, Seo Woo Song and 1 more

Abstract read
In one paragraph

Article in Biomicrofluidics, 2022. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Sumin LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0003-3650-4932
Wooseok LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Amos Chungwon LeeBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-0350-7080
Juhong NamDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
JinYoung LeeDivision of Engineering Science, University of Toronto, Toronto, Ontario M5S 3H6, Canada.ORCID 0000-0002-2050-8253
Hamin KimInterdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea.
Yunjin JeongBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.
Huiran YeomBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.
Namphil KimDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Seo Woo SongBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-8537-6557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Encoded microparticles have great potential in small-volume multiplexed assays. It is important to link the micro-level assays to the macro-level by indexing and manipulating the microparticles to enhance their versatility. There are technologies to actively manipulate the encoded microparticles, but none is capable of directly manipulating the encoded microparticles with homogeneous physical properties. Here, we report the image-based laser-induced forward transfer system for active manipulation of the graphically encoded microparticles. By demonstrating the direct retrieval of the microparticles of interest, we show that this system has the potential to expand the usage of encoded microparticles.

Identifiers

PMID36483021
PMCPMC9726220

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.