A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining

Saul Calderon; Daniel Moya; Juan Carlos Cruz; Juan Manuel Valverde

doi:10.1109/CONCAPAN.2016.7942344

A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining

Saul Calderon
, Daniel Moya
, Juan Carlos Cruz
, Juan Manuel Valverde

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In this work we explore a set of image enhancement techniques for improving contrast and removing noise from digital images of cell activity. The cells studied were extracted from cancerous brain tissue and exposed to different chemo-therapeutic agents, as microbiologists aim to analyze the behavior of cells exposed to different chemo-therapies. To ease and improve the precision of such analysis, an automatic cell tracking framework is of great interest. Thus, in this work we focus on the first stage of such framework, which refers to image preprocessing, aiming to noise removal and contrast enhancement, in order to improve cell segmentation and tracking performance. We compared the segmentation precision using different image preprocessing techniques based on the Deceived Weighting Average Framework (DeWAFF), reaching improvements of around 15 percent of segmentation accuracy, over no preprocessed images.

Original language	English
Title of host publication	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467395786
DOIs	https://doi.org/10.1109/CONCAPAN.2016.7942344
State	Published - 2 Jul 2016
Event	36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica Duration: 9 Nov 2016 → 11 Nov 2016

Publication series

Name	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Conference

Conference	36th IEEE Central American and Panama Convention, CONCAPAN 2016
Country/Territory	Costa Rica
City	San Jose
Period	9/11/16 → 11/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Biomedical Imaging
Contrast enhancement
Digital Image processing
Fluorescence based microscopy
Noise removal
Non lineal image filters

Access to Document

10.1109/CONCAPAN.2016.7942344

Cite this

Calderon, S., Moya, D., Cruz, J. C., & Valverde, J. M. (2016). A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining. In 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016 Article 7942344 (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONCAPAN.2016.7942344

Calderon, Saul ; Moya, Daniel ; Cruz, Juan Carlos et al. / A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining. 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016).

@inproceedings{ab269fdc3d254d9e88fd6a157c14d78c,

title = "A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining",

abstract = "In this work we explore a set of image enhancement techniques for improving contrast and removing noise from digital images of cell activity. The cells studied were extracted from cancerous brain tissue and exposed to different chemo-therapeutic agents, as microbiologists aim to analyze the behavior of cells exposed to different chemo-therapies. To ease and improve the precision of such analysis, an automatic cell tracking framework is of great interest. Thus, in this work we focus on the first stage of such framework, which refers to image preprocessing, aiming to noise removal and contrast enhancement, in order to improve cell segmentation and tracking performance. We compared the segmentation precision using different image preprocessing techniques based on the Deceived Weighting Average Framework (DeWAFF), reaching improvements of around 15 percent of segmentation accuracy, over no preprocessed images.",

keywords = "Biomedical Imaging, Contrast enhancement, Digital Image processing, Fluorescence based microscopy, Noise removal, Non lineal image filters",

author = "Saul Calderon and Daniel Moya and Cruz, \{Juan Carlos\} and Valverde, \{Juan Manuel\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE Central American and Panama Convention, CONCAPAN 2016 ; Conference date: 09-11-2016 Through 11-11-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/CONCAPAN.2016.7942344",

language = "Ingl{\'e}s",

series = "2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016",

}

Calderon, S, Moya, D, Cruz, JC & Valverde, JM 2016, A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining. in 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016., 7942344, 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016, Institute of Electrical and Electronics Engineers Inc., 36th IEEE Central American and Panama Convention, CONCAPAN 2016, San Jose, Costa Rica, 9/11/16. https://doi.org/10.1109/CONCAPAN.2016.7942344

A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining. / Calderon, Saul; Moya, Daniel; Cruz, Juan Carlos et al.
2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7942344 (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining

AU - Calderon, Saul

AU - Moya, Daniel

AU - Cruz, Juan Carlos

AU - Valverde, Juan Manuel

PY - 2016/7/2

Y1 - 2016/7/2

N2 - In this work we explore a set of image enhancement techniques for improving contrast and removing noise from digital images of cell activity. The cells studied were extracted from cancerous brain tissue and exposed to different chemo-therapeutic agents, as microbiologists aim to analyze the behavior of cells exposed to different chemo-therapies. To ease and improve the precision of such analysis, an automatic cell tracking framework is of great interest. Thus, in this work we focus on the first stage of such framework, which refers to image preprocessing, aiming to noise removal and contrast enhancement, in order to improve cell segmentation and tracking performance. We compared the segmentation precision using different image preprocessing techniques based on the Deceived Weighting Average Framework (DeWAFF), reaching improvements of around 15 percent of segmentation accuracy, over no preprocessed images.

AB - In this work we explore a set of image enhancement techniques for improving contrast and removing noise from digital images of cell activity. The cells studied were extracted from cancerous brain tissue and exposed to different chemo-therapeutic agents, as microbiologists aim to analyze the behavior of cells exposed to different chemo-therapies. To ease and improve the precision of such analysis, an automatic cell tracking framework is of great interest. Thus, in this work we focus on the first stage of such framework, which refers to image preprocessing, aiming to noise removal and contrast enhancement, in order to improve cell segmentation and tracking performance. We compared the segmentation precision using different image preprocessing techniques based on the Deceived Weighting Average Framework (DeWAFF), reaching improvements of around 15 percent of segmentation accuracy, over no preprocessed images.

KW - Biomedical Imaging

KW - Contrast enhancement

KW - Digital Image processing

KW - Fluorescence based microscopy

KW - Noise removal

KW - Non lineal image filters

UR - https://www.scopus.com/pages/publications/85021415326

U2 - 10.1109/CONCAPAN.2016.7942344

DO - 10.1109/CONCAPAN.2016.7942344

M3 - Contribución a la conferencia

AN - SCOPUS:85021415326

T3 - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

BT - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th IEEE Central American and Panama Convention, CONCAPAN 2016

Y2 - 9 November 2016 through 11 November 2016

ER -

Calderon S, Moya D, Cruz JC, Valverde JM. A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining. In 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7942344. (2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016). doi: 10.1109/CONCAPAN.2016.7942344

A first glance on the enhancement of digital cell activity videos from glioblastoma cells with nuclear staining

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this