Difference between revisions of "Spring 2012:LFM Report"
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== Introduction and Motivation == | == Introduction and Motivation == | ||
A light field microscope (LFM) is capable of producing a 3-dimensional rendering of a sample using information from a single image. The addition of a microlens array, a grid of lenses with diameters on the microscale, to a traditional illumination microscope grants this capability. Here we propose integrating a Lytro™ camera into a basic wide field and epifluorescence microscope, associated code and recommended experiments for use in a teaching undergraduate laboratory. | A light field microscope (LFM) is capable of producing a 3-dimensional rendering of a sample using information from a single image. The addition of a microlens array, a grid of lenses with diameters on the microscale, to a traditional illumination microscope grants this capability. Here we propose integrating a Lytro™ camera into a basic wide field and epifluorescence microscope, associated code and recommended experiments for use in a teaching undergraduate laboratory. | ||
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== Microscope Design == | == Microscope Design == | ||
− | == Reverse engineering the Lytro™ images = = | + | == Reverse engineering the Lytro™ images == |
== Dealing with the hexagonal microarray == | == Dealing with the hexagonal microarray == |
Revision as of 06:49, 17 May 2012
Contents
Light Field Microscope
Vincent Lee & Leanna Morinishi
Introduction and Motivation
A light field microscope (LFM) is capable of producing a 3-dimensional rendering of a sample using information from a single image. The addition of a microlens array, a grid of lenses with diameters on the microscale, to a traditional illumination microscope grants this capability. Here we propose integrating a Lytro™ camera into a basic wide field and epifluorescence microscope, associated code and recommended experiments for use in a teaching undergraduate laboratory.
Microscope Design
Reverse engineering the Lytro™ images
Dealing with the hexagonal microarray
Acknowledgments
- Nirav Patel, for reverse engineering the Lytro image and lfpsplitter.
- Frank Warmerdam, Andrey Kiselev, Bob Friesenhahn, Joris Van Damme and Lee Howard for raw2tiff tools.