Open Access Paper
11 March 2015 3D quantitative phase imaging of neural networks using WDT
Taewoo Kim, S. Chris Liu, Raj Iyer, Martha U. Gillette, Gabriel Popescu
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Proceedings Volume 9336, Quantitative Phase Imaging; 93361V (2015) https://doi.org/10.1117/12.2080070
Event: SPIE BiOS, 2015, San Francisco, California, United States
Abstract
White-light diffraction tomography (WDT) is a recently developed 3D imaging technique based on a quantitative phase imaging system called spatial light interference microscopy (SLIM). The technique has achieved a sub-micron resolution in all three directions with high sensitivity granted by the low-coherence of a white-light source. Demonstrations of the technique on single cell imaging have been presented previously; however, imaging on any larger sample, including a cluster of cells, has not been demonstrated using the technique.

Neurons in an animal body form a highly complex and spatially organized 3D structure, which can be characterized by neuronal networks or circuits. Currently, the most common method of studying the 3D structure of neuron networks is by using a confocal fluorescence microscope, which requires fluorescence tagging with either transient membrane dyes or after fixation of the cells. Therefore, studies on neurons are often limited to samples that are chemically treated and/or dead.

WDT presents a solution for imaging live neuron networks with a high spatial and temporal resolution, because it is a 3D imaging method that is label-free and non-invasive. Using this method, a mouse or rat hippocampal neuron culture and a mouse dorsal root ganglion (DRG) neuron culture have been imaged in order to see the extension of processes between the cells in 3D. Furthermore, the tomogram is compared with a confocal fluorescence image in order to investigate the 3D structure at synapses.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Taewoo Kim, S. Chris Liu, Raj Iyer, Martha U. Gillette, and Gabriel Popescu "3D quantitative phase imaging of neural networks using WDT", Proc. SPIE 9336, Quantitative Phase Imaging, 93361V (11 March 2015); https://doi.org/10.1117/12.2080070
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KEYWORDS
Neurons

Point spread functions

3D image processing

Phase imaging

Luminescence

Imaging systems

Tomography

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