Evidence map›Paper›PMID 41156362›Full record

ArticleMicromachines2025

Quantitative Analysis of Droplet Evaporation Based on Wedge Prism Digital Holographic Microscope.

Jiankun Wang, Han Wang, Yang Luo, Zhuoji Liang, Gengliang Chen, Meng Wang, Guoliang Zheng, Xuhui Zhang

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Jiankun WangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Han WangCollege of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, China.
Yang LuoSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Zhuoji LiangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Gengliang ChenSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0002-5728-103X
Meng WangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0003-0032-5975
Guoliang ZhengSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0001-8803-0228
Xuhui ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0002-1177-0583

Funding

National Key Research and Development Program of China 2024YFB4709503Shenzhen Science and Technology Programs 20220717104706001Shenzhen Science and Technology Programs 20220719141014001Shenzhen Science and Technology Programs 20231129112637001
6 · The paper itself

Abstract

This study presents a prism-based self-referencing digital holographic microscopy (PSDHM) system that utilizes a wedge prism. The front and rear surfaces of the prism have a wedge angle of 2°, which can reflect the parallel incident light, respectively, to generate a lateral displacement that varies with the propagation distance of the optical path. Focusing on the quantitative analysis of droplets, this innovative system effectively images water droplets and their dynamic evaporation processes. Results show that the evaporation process of water droplets undergoes three stages, each stage corresponding to a theoretical model. These are the constant contact radius (CCR) mode, the stick-slip (SS) mode, and the stick-jump (SJ) mode. Furthermore, by comprehensively analyzing the contact angle and the specific morphology of the droplet's contact area, we revealed that the hydrophilicity of the cover glass influences the droplet morphology, contact area, and the evaporation process.

Indexed as

digital holographic microscopy (DHM)droplet evaporationthickness measurementwedge prism

Identifiers

PMID41156362
PMCPMC12566539

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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.