Avago Technologies - San Jose, CA since Jul 2011
Staff Packaging Engineer
Qualcomm - San Jose, CA Jun 2010 - Jul 2011
Senior MEMS Engineer
Wispry - Irvine, CA Oct 2006 - Jun 2010
Staff MEMS Packaging Engineer
University of Arkansas - Fayetteville, AR Jul 2005 - Sep 2006
Research Associate
Education:
University of Arkansas at Fayetteville 2001 - 2005
Ph.D., Mechanical Engineering
Tsinghua University 1999 - 2001
M.E., Materials Processing Engineering
Tsinghua University 1995 - 1999
B.E., Mechanical Engineering
Skills:
MEMS AutoCAD Design of Experiments Failure Analysis Thin Films Matlab JMP ANSYS Finite Element Analysis
Dr. Sun graduated from the Binzhou Med Coll, Binzhou, Shandong, China in 1997. She works in Slidell, LA and specializes in Family Medicine. Dr. Sun is affiliated with AMG Specialty Hospital Denham Springs, Ochsner Medical Center North Shore and Slidell Memorial Hospital.
Yukun Bian - Suzhou, CN Li Sun - Sudbury MA, US David Y. Li - West Roxbury MA, US
International Classification:
B25J 9/16 G06T 7/80
Abstract:
This invention provides a system and method for calibration of a 3D vision system using a multi-layer 3D calibration target that removes the requirement of accurate pre-calibration of the target. The system and method acquires images of the multi-layer 3D calibration target at different spatial locations and at different times, and computes the orientation difference of the 3D calibration target between the two acquisitions. The technique can be used to perform vision-based single-plane orientation repeatability inspection and monitoring. By applying this technique to an assembly working plane, vision-based assembly working plane orientation repeatability, inspection and monitoring can occur. Combined with a moving robot end effector, this technique provides vision-based robot end-effector orientation repeatability inspection and monitoring. Vision-guided adjustment of two planes to achieve parallelism can be achieved. The system and method operates to perform precise vision-guided robot setup to achieve parallelism of the robot's end-effector and the assembly working plane.
System And Method For 3D Profile Determination Using Model-Based Peak Selection
This invention provides a system and method for selecting the correct profile from a range of peaks generated by analyzing a surface with multiple exposure levels applied at discrete intervals. The cloud of peak information is resolved by comparison to a model profile into a best candidate to represent an accurate representation of the object profile. Illustratively, a displacement sensor projects a line of illumination on the surface and receives reflected light at a sensor assembly at a set exposure level. A processor varies the exposure level setting in a plurality of discrete increments, and stores an image of the reflected light for each of the increments. A determination process combines the stored images and aligns the combined images with respect to a model image. Points from the combined images are selected based upon closeness to the model image to provide a candidate profile of the surface.
System And Method For 3D Profile Determination Using Model-Based Peak Selection
- Natick MA, US Li Sun - Sudbury MA, US Lowell D. Jacobson - Grafton MA, US Lei Wang - Wayland MA, US
International Classification:
G01B 11/03 G06T 7/521 G06T 7/593 H04N 5/235
Abstract:
This invention provides a system and method for selecting the correct profile from a range of peaks generated by analyzing a surface with multiple exposure levels applied at discrete intervals. The cloud of peak information is resolved by comparison to a model profile into a best candidate to represent an accurate representation of the object profile. Illustratively, a displacement sensor projects a line of illumination on the surface and receives reflected light at a sensor assembly at a set exposure level. A processor varies the exposure level setting in a plurality of discrete increments, and stores an image of the reflected light for each of the increments. A determination process combines the stored images and aligns the combined images with respect to a model image. Points from the combined images are selected based upon closeness to the model image to provide a candidate profile of the surface.
Microfluidic Determination Of Immune And Other Cells
The present invention generally relates to fluidic droplets and systems and methods for determining immune or other cells. Some aspects of the invention are generally directed to assays that combine sensitive detection of secreted products with detection of target cell death in droplets containing an effector cell, systems and methods to isolate droplets in which one or more cell interactions have occurred, or systems and methods to generate nucleic acid information from cell interactions. In addition, some embodiments of the invention are generally directed to containing two (or more) cells in droplets, e.g., an effector cell and one or more target cells, and determining various interactions between the cells within the droplets, such as whether the effector cell kills the target cell, whether the effector cell releases antibodies, cytokines or other substances that are able to interact with the target cell or are released in the presence of the target cell, or the like.
Pharmaceutical Product And Method Of Analysing Light Exposure Of A Pharmaceutical Product
Jeremy Guo - Redmond WA, US Deborah R. Shnek - Sammamish WA, US Paula H. Spencer - Kirkland WA, US Li Sun - Seattle WA, US
Assignee:
AMGEN INC. - Thousand Oaks CA
International Classification:
B65D 79/02
US Classification:
435 5, 206438, 53415, 436 86
Abstract:
A pharmaceutical product includes a container having an exterior surface and an interior chamber, an active ingredient disposed in the interior chamber, the active ingredient having a photosensitive property that changes based on at least cumulative exposure to light having a wavelength within the range between X and Y, and a layer of photosensitive material disposed on or in the container and exposed to environmental conditions contemporaneous with the active ingredient being disposed in the interior chamber. The photosensitive material is reactive to light having a wavelength within the range between X and Y to experience a property change at a threshold of cumulative exposure to light received within the range between X and Y related to the change in the photosensitive property of the active ingredient. A photosensitive device can also be disposed along a path followed by the pharmaceutical product within a facility.
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LI Sun (1999-2003), Dirk Diggler (1984-1988), Kristi Larsen (1992-1996), Cullen Cantwell (2001-2005), Paul Ware (1974-1978), Alex Hernandez (2000-2004)