A modular microscopic smartphone attachment for imaging and quantification of multiple fluorescent probes using machine learning-Reference-Cited by-同舟云学术

A modular microscopic smartphone attachment for imaging and quantification of multiple fluorescent probes using machine learning

Published:2021 Issue:8 Volume:146 Page:2531-2541
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Sami Muhammad A.¹²³⁴⁵^ORCID,Tayyab Muhammad¹²³⁴⁵,Parikh Priya¹²³⁴⁵,Govindaraju Harshitha⁶²³⁴⁵,Hassan Umer¹²³⁴⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering

2. School of Engineering

3. Rutgers The State University of New Jersey

4. Piscataway

5. USA

6. Department of Biomedical Engineering

Abstract

A smartphone-based fluorescent microscope capable of imaging multiple fluorescent probes at different magnification levels.

Funder

Office of Naval Research

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/AN/D0AN02451A

Reference31 articles.

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4. W. Zhu , C.Gong , N.Kulkarni , C. D.Nguyen and D.Kang , Smartphone-based microscopes , in Smartphone Based Medical Diagnostics , Elsevier , 2020 , pp. 159–175

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