Evidence map›Paper›PMID 39464242›Full record

ArticleBiomicrofluidics2024

Non-invasive measurement of wall shear stress in microfluidic chip for osteoblast cell culture using improved depth estimation of defocus particle tracking method.

Hein Htet Aung, Phattarin Pothipan, Jirasin Aswakool, Siraphob Santironnarong, Rungrueang Phatthanakun, Visarute Pinrod, Thanakorn Jiemsakul, Wares Chancharoen, Aekkacha Moonwiriyakit

Abstract read
In one paragraph

Article in Biomicrofluidics, 2024. 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. Review
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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.

Hein Htet AungLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok 10210, Thailand.ORCID https://orcid.org/0009-0008-5822-3537
Phattarin PothipanChakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 111 Suwannabhumi Canal Rd, Bang Pla, Bang Phli District, Samut Prakan 10540, Thailand.ORCID https://orcid.org/0000-0001-8425-2464
Jirasin AswakoolLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok 10210, Thailand.
Siraphob SantironnarongDefence Technology Institute, Office of the Permanent Secretary of Defence (Chaengwattana) 7th Floor, 47/433 Moo 3, Ban Mai, Pak Kret, Nonthaburi 11120, Thailand.
Rungrueang PhatthanakunSynchrotron Light Research Institute, 111 University Avenue, Muang District, Nakhon Ratchasima 30000, Thailand.ORCID https://orcid.org/0000-0002-1884-2287
Visarute PinrodNational Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand.ORCID https://orcid.org/0000-0003-2430-5127
Thanakorn JiemsakulNational Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Pathumthani 12120, Thailand.ORCID https://orcid.org/0009-0001-9191-3854
Wares ChancharoenLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok 10210, Thailand.ORCID https://orcid.org/0000-0002-5223-4867
Aekkacha MoonwiriyakitChakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 111 Suwannabhumi Canal Rd, Bang Pla, Bang Phli District, Samut Prakan 10540, Thailand.ORCID https://orcid.org/0000-0001-8946-8694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a non-invasive method for measuring the internal fluid behavior and dynamics of microchannels in microfluidics poses critical challenges to biological research, such as understanding the impact of wall shear stress (WSS) in the growth of a bone-forming osteoblast. This study used the General Defocus Particle Tracking (GDPT) technique to develop a non-invasive method for quantifying the fluid velocity profile and calculated the WSS within a microfluidic chip. The GDPT estimates particle motion in a three-dimensional space by analyzing two-dimensional images and video captured using a single camera. However, without a lens to introduce aberration, GDPT is prone to error in estimating the displacement direction for out-of-focus particles, and without knowing the exact refractive indices, the scaling from estimated values to physical units is inaccurate. The proposed approach addresses both challenges by using theoretical knowledge on laminar flow and integrating results obtained from multiple analyses. The proposed approach was validated using computational fluid dynamics (CFD) simulations and experimental video of a microfluidic chip that can generate different WSS levels under steady-state flow conditions. By comparing the CFD and GDPT velocity profiles, it was found that the Mean Pearson Correlation Coefficient is 0.77 (max = 0.90) and the Mean Intraclass Correlation Coefficient is 0.66 (max = 0.82). The densitometry analysis of osteoblast cells cultured on the designed microfluidic chip for four days revealed that the cell proliferation rate correlates positively with the measured WSS values. The proposed analysis can be applied to quantify the laminar flow in microfluidic chip experiments without specialized equipment.

Identifiers

PMID39464242
PMCPMC11510738

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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.