Research Article
Robust Automated detection of Nanocarriers’ Toxicity using Microscopic Image Analysis
@ARTICLE{10.4108/eai.13-7-2018.156593, author={B. Saini and S. Srivastava and A.K. Bajpai}, title={Robust Automated detection of Nanocarriers’ Toxicity using Microscopic Image Analysis}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={6}, number={20}, publisher={EAI}, journal_a={SIS}, year={2019}, month={2}, keywords={Nanotechnology, Nanocarriers, Drug Delivery System, Toxicity, Image Processing}, doi={10.4108/eai.13-7-2018.156593} }- B. Saini
S. Srivastava
A.K. Bajpai
Year: 2019
Robust Automated detection of Nanocarriers’ Toxicity using Microscopic Image Analysis
SIS
EAI
DOI: 10.4108/eai.13-7-2018.156593
Abstract
Nanocarriers’ usage turned out to be a revolutionizing factor in the field of medical diagnosis and therapies. One of these therapies includes drug delivery system, where the nanocarriers are utilized for targeted and controlled delivery of drug to the diseased sites. Toxicity is one of the crucial issues which can arise during this process and needs to be addressed seriously and as early as possible. This paper reports an automated system for the relatively new and undiscovered area, where cell detection and evaluation play a major role in toxicity prediction of nanocarriers during the drug delivery process. The toxicity level was decided on the basis of dead cells count present in the microscopic images. The algorithm takes a few seconds to run and the overall accuracy of the proposed algorithm was found to be approx. 97% and 83% for different sets of images. The various image peculiarities which led to error include high cells clustering, poor contrast, and noisy background
Copyright © 2019 B. Saini et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
