Evidence map›Paper›PMID 30976894›Full record

ArticleAnalytical and bioanalytical chemistry2019

A smart preparation strategy for point-of-care cellular counting of trace volumes of human blood.

Xinyi Li, Qiong Deng, Hongping Liu, Youwang Lei, Pengwei Fan, Bin Wang, Yangfei Chen, Zachary J Smith, Yuchen Tang, Tingjuan Gao

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Xinyi LiKey Laboratory of Pesticide and Chemical Biology of Ministry of Education, and Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, Hubei, China.
Qiong DengKey Laboratory of Pesticide and Chemical Biology of Ministry of Education, and Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, Hubei, China.
Hongping LiuState Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, Hubei, China.
Youwang LeiPrenatal Diagnostics Center, Jieyang Women and Children's Health Care Hospital, Jieyang, 522000, Guangdong, China.
Pengwei FanClinical Laboratory Center, Wuhan No. 7 Hospital, Wuhan, 430071, Hubei, China.
Bin WangClinical Laboratory Center, Wuhan No. 7 Hospital, Wuhan, 430071, Hubei, China.
Yangfei ChenKey Laboratory of Pesticide and Chemical Biology of Ministry of Education, and Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, Hubei, China.
Zachary J SmithDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Yuchen TangKey Laboratory of Pesticide and Chemical Biology of Ministry of Education, and Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, Hubei, China. ytang@mail.ccnu.edu.cn.
Tingjuan GaoKey Laboratory of Pesticide and Chemical Biology of Ministry of Education, and Chemical Biology Center, College of Chemistry, Central China Normal University, Wuhan, 430079, Hubei, China. tingao@mail.ccnu.edu.cn.
Central China Normal University · CNWuhan No. 7 Hospital · CNUniversity of Science and Technology of China · CNWuhan Institute of Physics and Mathematics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood counting is one of the most commonly ordered clinical assays, and is often part of the basis for initial diagnosis and screening for disease. While substantial prior research has shown the ability of portable instruments to accurately produce blood counts through image- or flow-based cytometry, these methods require complex sample preparation using either costly commercial imaging chambers or complicated reagents. To address these issues, in this paper we developed a method to prepare trace volumes of whole blood aimed at portable blood counting. The strategy is based on pre-storing dry-form reagents and fabricating a specifically designed cell counter. In order to obtain total cell counts for red blood cells, platelets, and 3-part differentials of white blood cells, two parallel counting chambers with different depths are made from cost- and environmentally friendly materials using soft lithography. As little as 1 μl of whole blood is prepared with pre-stored reagents in centrifuge vials, whereas red blood cells are sphered and white blood cells are stained at the same time. Driven by the capillary force, prepared blood samples enter the hydrophilic chambers automatically. Monolayers of cells are formed when the blood dilution factors and the chamber depths are co-optimized. Combined with our previous custom-built instrument and automated analysis algorithm, the sample preparation strategy allows producing counting results with excellent agreement to a gold-standard clinical hematology instrument. The success of this preparation method may further advance applications of our technology for global use in low-resource settings where central hematology laboratories are not accessible. Graphical abstract Graphical Abstract.

Indexed as

Point-of-Care SystemsBlood Cell CountBlood Specimen CollectionEquipment DesignHumansIndicators and ReagentsMicroscopyOptical ImagingSample SizeIndicators and ReagentsBlood countingImage-based cytometryPOCTSample preparation

Identifiers

PMID30976894
OpenAlexW2939035499

What OpenQuestion holds

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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.