Statistical design of a 3D microarray with position-encoded microspheres

Pinaki Sarder; Arye Nehorai

doi:10.1109/CAMSAP.2009.5413312

Statistical design of a 3D microarray with position-encoded microspheres

Pinaki Sarder, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a three-dimensional (3D) microarray device with fixed distance between the microspheres. The microspheres in the new device have controllable positions. To design the layout of our proposed device, we consider an optimal statistical performance analysis for imaging the microspheres. We compute the posterior Cramér-Rao bound on the error in estimating the unknown imaging parameters and use the bound to compute the minimal distance between the microspheres, which provides a desired level of statistical imaging performance. We illustrate our concept using a numerical example. The proposed microarray has high sensitivity, efficient packing density, and guaranteed imaging performance. It identifies targets based on the microspheres' locations, allowing significantly simplified imaging analysis.

Original language	English
Title of host publication	CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Pages	161-164
Number of pages	4
DOIs	https://doi.org/10.1109/CAMSAP.2009.5413312
State	Published - 2009
Event	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 - Aruba, Netherlands Duration: Dec 13 2009 → Dec 16 2009

Publication series

Name	CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Conference

Conference	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009
Country/Territory	Netherlands
City	Aruba
Period	12/13/09 → 12/16/09

Access to Document

10.1109/CAMSAP.2009.5413312

Cite this

Sarder, P., & Nehorai, A. (2009). Statistical design of a 3D microarray with position-encoded microspheres. In CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (pp. 161-164). Article 5413312 (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). https://doi.org/10.1109/CAMSAP.2009.5413312

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title = "Statistical design of a 3D microarray with position-encoded microspheres",

abstract = "We propose a three-dimensional (3D) microarray device with fixed distance between the microspheres. The microspheres in the new device have controllable positions. To design the layout of our proposed device, we consider an optimal statistical performance analysis for imaging the microspheres. We compute the posterior Cram{\'e}r-Rao bound on the error in estimating the unknown imaging parameters and use the bound to compute the minimal distance between the microspheres, which provides a desired level of statistical imaging performance. We illustrate our concept using a numerical example. The proposed microarray has high sensitivity, efficient packing density, and guaranteed imaging performance. It identifies targets based on the microspheres' locations, allowing significantly simplified imaging analysis.",

author = "Pinaki Sarder and Arye Nehorai",

year = "2009",

doi = "10.1109/CAMSAP.2009.5413312",

language = "English",

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series = "CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing",

pages = "161--164",

booktitle = "CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing",

note = "2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 ; Conference date: 13-12-2009 Through 16-12-2009",

}

Sarder, P & Nehorai, A 2009, Statistical design of a 3D microarray with position-encoded microspheres. in CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing., 5413312, CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, pp. 161-164, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009, Aruba, Netherlands, 12/13/09. https://doi.org/10.1109/CAMSAP.2009.5413312

Statistical design of a 3D microarray with position-encoded microspheres. / Sarder, Pinaki; Nehorai, Arye.
CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2009. p. 161-164 5413312 (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We propose a three-dimensional (3D) microarray device with fixed distance between the microspheres. The microspheres in the new device have controllable positions. To design the layout of our proposed device, we consider an optimal statistical performance analysis for imaging the microspheres. We compute the posterior Cramér-Rao bound on the error in estimating the unknown imaging parameters and use the bound to compute the minimal distance between the microspheres, which provides a desired level of statistical imaging performance. We illustrate our concept using a numerical example. The proposed microarray has high sensitivity, efficient packing density, and guaranteed imaging performance. It identifies targets based on the microspheres' locations, allowing significantly simplified imaging analysis.

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Sarder P, Nehorai A. Statistical design of a 3D microarray with position-encoded microspheres. In CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. 2009. p. 161-164. 5413312. (CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing). doi: 10.1109/CAMSAP.2009.5413312

Statistical design of a 3D microarray with position-encoded microspheres

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