Evidence map›Paper›PMID 39640419›Full record

ArticleHardwareX2024

Low-cost automated cell counting module fabricated using CNC milling and soft lithography.

Takanobu Takenouchi, Yuta Iijima, Kazuyo Ito, Daisuke Yoshino

Abstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Takanobu TakenouchiDepartment of Applied Physics, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan.
Yuta IijimaDepartment of Food and Energy Systems Science, Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan.
Kazuyo ItoDepartment of Biomedical Engineering, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan.
Daisuke YoshinoDepartment of Applied Physics, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell counting is one of the basic and essential procedures that researchers in cell biology, bioengineering, and other related fields learn at the outset. Systems based on various measurement principles are commercially available, and each has its own advantages and disadvantages in terms of performance, cost, and footprint. Herein, we developed a cost-effective, scalable, and compact module that enables cell counting with reasonable accuracy, throughput, and sensitivity. This cell counting module had a size of 29 × 48 × 16 mm and a cost of $165 USD. The module can be assembled by simply inserting commercially available optical and electronic components into a housing printed by CNC milling and soft lithography. To take full advantage of this module, we built an automated cell counting system using open-source and commercially available development platforms. The module exhibited a measurement accuracy (

Indexed as

Cell counting moduleCell cultureCNC millingCytometryMicrofluidicsSoft lithography

Identifiers

PMID39640419
PMCPMC11617699

What OpenQuestion holds

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LicenceCC BY
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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.