Enhancement of cell boundaries in transmission electron microscopy images

Author

Tasdizen, Tolga ; Whitaker, Ross ; Marc, Robert ; Jones, Bryan

Author_Institution

Inst. of Sci. Comput. & Imaging, Utah Univ., Salt Lake City, UT, USA

Volume

2

fYear

2005

fDate

11-14 Sept. 2005

Abstract

Transmission electron microscopy (TEM) is an important modality for the analysis of cellular structures in neurobiology. The computational analysis of neurons entail their segmentation and reconstruction from TEM images. This problem is complicated by the heavily textured nature of cellular TEM images and typically low signal-to-noise ratios. In this paper, we propose a new partial differential equation for enhancing the contrast and continuity of cell membranes in TEM images.

Keywords

biomedical imaging; cellular biophysics; image reconstruction; image segmentation; image texture; partial differential equations; transmission electron microscopy; TEM; cell boundaries; cell membranes; cellular structures; contrast enhancement; images reconstruction; images segmentation; neurobiology; partial differential equation; signal-to-noise ratios; transmission electron microscopy images; Biomembranes; Cells (biology); Cities and towns; Image analysis; Image reconstruction; Image segmentation; Magnetic resonance imaging; Neurons; Noise reduction; Transmission electron microscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1530008

Filename

1530008