Evidence map›Paper›PMID 39263370›Full record

ArticleAPL bioengineering2024

Rapid flowing cells localization enabled by spatiotemporal manipulation of their holographic patterns.

Zhengzhong Huang, Zhe Wang, Daniele Pirone, Vittorio Bianco, Lisa Miccio, Pasquale Memmolo, Liangcai Cao, Pietro Ferraro

Abstract read
In one paragraph

Article in APL bioengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhe Wang
Daniele PironeInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", Italian National Research Council (ISASI-CNR), Italy.ORCID https://orcid.org/0000-0003-1317-7545
Vittorio BiancoInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", Italian National Research Council (ISASI-CNR), Italy.ORCID https://orcid.org/0000-0003-1956-4976
Lisa MiccioInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", Italian National Research Council (ISASI-CNR), Italy.ORCID https://orcid.org/0000-0001-9427-881X
Pasquale MemmoloInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", Italian National Research Council (ISASI-CNR), Italy.
Liangcai CaoDepartment of Precision Instrument, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0002-8099-2948
Pietro FerraroInstitute of Applied Sciences and Intelligent Systems "E. Caianiello", Italian National Research Council (ISASI-CNR), Italy.ORCID https://orcid.org/0000-0002-0158-3856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lab-on-a-Chip microfluidic devices present an innovative and cost-effective platform in the current trend of miniaturization and simplification of imaging flow cytometry; they are excellent candidates for high-throughput single-cell analysis. In such microfluidic platforms, cell tracking becomes a fundamental tool for investigating biophysical processes, from intracellular dynamics to the characterization of cell motility and migration. However, high-throughput and long-term cell tracking puts a high demand on the consumption of computing resources. Here, we propose a novel strategy to achieve rapid 3D cell localizations along the microfluidic channel. This method is based on the spatiotemporal manipulation of recorded holographic interference fringes, and it allows fast and precise localization of cells without performing complete holographic reconstruction. Conventional holographic tracking is typically based on the phase contrast obtained by decoupling the calculation of optical axial and transverse coordinates. Computing time and resource consumption may increase because all the frames need to be calculated in the Fourier domain. In our proposed method, the 2D transverse positions are directly located by morphological calculation based on the hologram. The complex-amplitude wavefronts are directly reconstructed by spatiotemporal phase shifting to calculate the axial position by the refocusing criterion. Only spatial calculation is considered in the proposed method. We demonstrate that the computational time of transverse tracking is only one-tenth of the conventional method, while the total computational time of the proposed method decreases up to 54% with respect to the conventional approach. The proposed approach can open the route for analyzing flow cytometry in quantitative phase microscopy assays.

Identifiers

PMID39263370
PMCPMC11390135

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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.