Image analysis system for 96-well plate fluorescence assays

S. Muttan; Durai Arun P.; K. Sankaran

doi:10.1109/ICCCNT.2012.6395958

Image analysis system for 96-well plate fluorescence assays

S. Muttan
, Durai Arun P.
, K. Sankaran

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

Abstract

Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.

Original language	English
Title of host publication	2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
DOIs	https://doi.org/10.1109/ICCCNT.2012.6395958
Publication status	Published - 31 Dec 2012
Event	2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12) - Coimbatore, India Duration: 26 Jul 2012 → 28 Jul 2012

Conference

Conference	2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)
Country/Territory	India
City	Coimbatore
Period	26/07/12 → 28/07/12

Funding

University Grants Commission (UGC) is acknowledged for financial support for the project in “Centre with Potential for Excellence in Environmental Science (CPEES)” and for the Fellowship of Junior Research Fellow.

Keywords

artificial neural networks
instruments
cameras
ultraviolet sources
vectors
training

Access to Document

10.1109/ICCCNT.2012.6395958

Cite this

@inproceedings{f3ddb08a5d6b4edb83e19850b7b8b9a2,

title = "Image analysis system for 96-well plate fluorescence assays",

abstract = "Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.",

keywords = "artificial neural networks, instruments, cameras, ultraviolet sources, vectors, training",

author = "S. Muttan and P., \{Durai Arun\} and K. Sankaran",

year = "2012",

month = dec,

day = "31",

doi = "10.1109/ICCCNT.2012.6395958",

language = "English",

booktitle = "2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)",

publisher = "IEEE",

note = "2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12) ; Conference date: 26-07-2012 Through 28-07-2012",

}

Muttan, S, P., DA & Sankaran, K 2012, Image analysis system for 96-well plate fluorescence assays. in 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)., 6395958, IEEE, Piscataway, NJ, 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12), Coimbatore, India, 26/07/12. https://doi.org/10.1109/ICCCNT.2012.6395958

TY - GEN

T1 - Image analysis system for 96-well plate fluorescence assays

AU - Muttan, S.

AU - P., Durai Arun

AU - Sankaran, K.

PY - 2012/12/31

Y1 - 2012/12/31

N2 - Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.

AB - Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.

KW - artificial neural networks

KW - instruments

KW - cameras

KW - ultraviolet sources

KW - vectors

KW - training

U2 - 10.1109/ICCCNT.2012.6395958

DO - 10.1109/ICCCNT.2012.6395958

M3 - Conference contribution book

BT - 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)

PB - IEEE

CY - Piscataway, NJ

T2 - 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)

Y2 - 26 July 2012 through 28 July 2012

ER -

Image analysis system for 96-well plate fluorescence assays

Abstract

Conference

Funding

Keywords

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