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A modular microscopic smartphone attachment for imaging and quantification of multiple fluorescent microparticles
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Sami, Muhammad Ahsan. A modular microscopic smartphone attachment for imaging and quantification of multiple fluorescent microparticles. Retrieved from https://doi.org/doi:10.7282/t3-eapz-ac22

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TitleA modular microscopic smartphone attachment for imaging and quantification of multiple fluorescent microparticles
NameSami, Muhammad Ahsan (author); Hassan, Umer (chair); Rutgers University; School of Graduate Studies
Date Created2021
Other Date2021-05 (degree)
SubjectElectrical and Computer Engineering
Extent1 online resource (xi, 41 pages)
DescriptionPortable smartphone-based fluorescent microscopes are becoming popular because of their
capability to carry out some of the major functionalities offered by regular benchtop microscopes
at a fraction of the cost. However, these smartphone-based microscopes still have a lot of
limitations, such as being limited to only one fluorophore, unavailability of multiple
magnifications to name a few. To overcome these challenges, we present the design of a modular
smartphone-based microscopic attachment. Its modular design allows the user to easily swap
between different sets of filters and lenses, thereby providing the choice between multiple
fluorophores and magnification levels. Furthermore, our proposed attachment can image
specimens on glass slides, cover slips, and microfluidic devices. A 1951 USAF resolution test
target was used to quantify the maximum resolution of the microscope which was found to be 3.9
μm.

The performance of the designed smartphone-based fluorescent microscope was then compared
with regular benchtop microscope by counting fluorescent microparticles imaged. We found the
performance of our design to be satisfactory with an R2 value of 0.99. Additionally, to automate
the quantification of fluorescent microparticles, we developed and trained multiple artificial neural
networks (ANNs) using various training algorithms, and evaluated their performances compared
to the control (ImageJ) and found an R2 value of 0.99. We also performed ANOVA and Tukey’s
post-hoc analysis and found a p-value=0.97 indicating no significant difference.
As a potential application of the designed smartphone-based microscope, we also developed a
PDMS based microfluidic chip to capture and quantify leukocytes from human blood. Anti-human
CD45 antibodies were functionalized inside the capture chamber of the microfluidic chip. These
antibodies captured cells of interest based on antigen antibody interaction. These captured cells
were then made to fluoresce by using a green nuclear stain and the microfluidic chip was imaged
under the smartphone based fluorescent microscope.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-eapz-ac22
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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