e-journal

Lossless Compression of RNAi Fluorescence Images Using Regional Fluctuations of Pixels

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Abstract—RNA interference (RNAi) is considered one of the most powerful genomic tools which allows the study of drug discovery and understanding of the complex cellular processes by high-content screens. This field of study, which was the subject of 2006 Nobel Prize of medicine, has drastically changed the conventionalmethodsofanalysisofgenes.Alargenumberofimageshave been produced by the RNAi experiments. Even though a number of capable special purpose methods have been proposed recently fortheprocessingofRNAiimagesbutthereisnocustomizedcompression scheme for these images. Hence, highly proficient tools are required to compress these images. In this paper, we propose a new efficient lossless compression scheme for the RNAi images. A newpredictorspecificallydesignedfortheseimagesisproposed.It isshownthatpixelscanbeclassifiedintothreecategoriesbasedon their intensity distributions. Using classification of pixels based on theintensityfluctuationsamongtheneighborsofapixelacontextbased method is designed. Comparisons of the proposed method with the existing state-of-the-art lossless compression standards and well-known general-purpose methods are performed to show the efficiency of the proposed method.

Index Terms—Context modeling, high-content screening, lossless compression, prediction, RNA interference (RNAi).

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 P. 259-268

Bahasa

English

ISBN/ISSN

2168-2194

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

FOTOGRAFI BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Nader Karimi, Shadrokh Samavi, and Shahram Shirani

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