Evidence map›Paper›PMID 33586007›Full record

ReviewAnalytical and bioanalytical chemistry2021

Recent trends in smartphone-based detection for biomedical applications: a review.

Soumyabrata Banik, Sindhoora Kaniyala Melanthota, Arbaaz, Joel Markus Vaz, Vishak Madhwaraj Kadambalithaya, Iftak Hussain, Sibasish Dutta, Nirmal Mazumder

Open access · hybridAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 155 citations in OpenAlex.

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  8. The impact of COVID-19 pandemic on the etiological spectrum of respiratory infections in children.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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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

8 authors at 2 institutions in 1 country.

Soumyabrata BanikDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID http://orcid.org/0000-0002-2254-1428
Sindhoora Kaniyala MelanthotaDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID http://orcid.org/0000-0002-1546-8226
ArbaazDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Joel Markus VazDepartment of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Vishak Madhwaraj KadambalithayaDepartment of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Iftak HussainCenter for Healthcare Entrepreneurship, Indian Institute of Technology, Hyderabad, Telangana, 502285, India.
Sibasish DuttaDepartment of Physics, Pandit Deendayal Upadhyaya Adarsha Mahavidyalaya (PDUAM), Eraligool, Karimganj, Assam, 788723, India.
Nirmal MazumderDepartment of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. nirmaluva@gmail.com.ORCID http://orcid.org/0000-0001-8068-6484
Manipal Academy of Higher Education · INIndian Institute of Technology Hyderabad · IN

Funding

Department of Science and Technology (DST), Government of India DST/INT/BLG/P-3/2019
6 · The paper itself

Abstract

Smartphone-based imaging devices (SIDs) have shown to be versatile and have a wide range of biomedical applications. With the increasing demand for high-quality medical services, technological interventions such as portable devices that can be used in remote and resource-less conditions and have an impact on quantity and quality of care. Additionally, smartphone-based devices have shown their application in the field of teleimaging, food technology, education, etc. Depending on the application and imaging capability required, the optical arrangement of the SID varies which enables them to be used in multiple setups like bright-field, fluorescence, dark-field, and multiple arrays with certain changes in their optics and illumination. This comprehensive review discusses the numerous applications and development of SIDs towards histopathological examination, detection of bacteria and viruses, food technology, and routine diagnosis. Smartphone-based devices are complemented with deep learning methods to further increase the efficiency of the devices. Graphical Abstract.

Indexed as

AnimalsBiosensing TechniquesDeep LearningHumansImmunoassayMicroscopyOptical ImagingPoint-of-Care SystemsSmartphoneDeep learningDiagnosticsFluorescence imagingImmunoassayOptical microscopySmartphone

Identifiers

PMID33586007
PMCPMC7882471
OpenAlexW3131310148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.