Evidence map›Paper›PMID 38482463›Full record

ArticleMicrosystems & nanoengineering2024

Multiplexed fluorescence and scatter detection with single cell resolution using on-chip fiber optics for droplet microfluidic applications.

Preksha Gupta, Ambili Mohan, Apurv Mishra, Atindra Nair, Neeladri Chowdhury, Dhanush Balekai, Kavyashree Rai, Anil Prabhakar, Taslimarif Saiyed

Abstract read
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Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Real-time optical spectroscopy forNanoscale advances · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
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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

9 authors.

Preksha GuptaDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.ORCID 0000-0001-9748-8767
Ambili MohanDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036 Tamil Nadu India.
Apurv MishraDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.
Atindra NairDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.
Neeladri ChowdhuryDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.
Dhanush BalekaiDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.
Kavyashree RaiDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.
Anil PrabhakarDepartment of Electrical Engineering, Indian Institute of Technology Madras, Chennai, 600036 Tamil Nadu India.
Taslimarif SaiyedDiscovery Innovation Accelerator, Centre for Cellular and Molecular Platforms, Bellary Road, Bengaluru, 560065 Karnataka India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet microfluidics has emerged as a critical component of several high-throughput single-cell analysis techniques in biomedical research and diagnostics. Despite significant progress in the development of individual assays, multiparametric optical sensing of droplets and their encapsulated contents has been challenging. The current approaches, most commonly involving microscopy-based high-speed imaging of droplets, are technically complex and require expensive instrumentation, limiting their widespread adoption. To address these limitations, we developed the OptiDrop platform; this platform is a novel optofluidic setup that leverages the principles of flow cytometry. Our platform enables on-chip detection of the scatter and multiple fluorescence signals from the microfluidic droplets and their contents using optical fibers. The highly customizable on-chip optical fiber-based signal detection system enables simplified, miniaturized, low-cost, multiparametric sensing of optical signals with high sensitivity and single-cell resolution within each droplet. To demonstrate the ability of the OptiDrop platform, we conducted a differential expression analysis of the major histocompatibility complex (MHC) protein in response to IFN

Indexed as

EngineeringOptical physicsOptical sensors

Identifiers

PMID38482463
PMCPMC10933342

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.