Community detection for fluorescent lifetime microscopy image segmentation

Dandan Hu; Pinaki Sarder; Peter Ronhovde; Samuel Achilefu; Zohar Nussinov

doi:10.1117/12.2036875

12 March 2014 Community detection for fluorescent lifetime microscopy image segmentation

Dandan Hu, Pinaki Sarder, Peter Ronhovde, Samuel Achilefu, Zohar Nussinov

Proceedings Volume 8949, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI; 89491K (2014) https://doi.org/10.1117/12.2036875
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

Multiresolution community detection (CD) method has been suggested in a recent work as an efficient method for performing unsupervised segmentation of fluorescence lifetime (FLT) images of live cell images containing fluorescent molecular probes.¹ In the current paper, we further explore this method in FLT images of ex vivo tissue slices. The image processing problem is framed as identifying clusters with respective average FLTs against a background or solvent" in FLT imaging microscopy (FLIM) images derived using NIR fluorescent dyes. We have identified significant multiresolution structures using replica correlations in these images, where such correlations are manifested by information theoretic overlaps of the independent solutions (replicas") attained using the multiresolution CD method from different starting points. In this paper, our method is found to be more efficient than a current state-of-the-art image segmentation method based on mixture of Gaussian distributions. It offers more than 1:25 times diversity based on Shannon index than the latter method, in selecting clusters with distinct average FLTs in NIR FLIM images.

Citation Download Citation

Dandan Hu, Pinaki Sarder, Peter Ronhovde, Samuel Achilefu, and Zohar Nussinov "Community detection for fluorescent lifetime microscopy image segmentation", Proc. SPIE 8949, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI, 89491K (12 March 2014); https://doi.org/10.1117/12.2036875

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