MBSEM image acquisition and image processing in LabView FPGA

Shammi Rahangdale; Paul Keijzer; P. Kruit

doi:10.1109/IWSSIP.2016.7502728

MBSEM image acquisition and image processing in LabView FPGA

Shammi Rahangdale, Paul Keijzer, P. Kruit

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 × 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

Original language	English
Title of host publication	IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing
Editors	R. Rybarova , G. Rozinaj , Minarik I., Truchly P.
Publisher	IEEE
Number of pages	4
Volume	2016-June
ISBN (Electronic)	9781467395557
DOIs	https://doi.org/10.1109/IWSSIP.2016.7502728
Publication status	Published - 2016
Event	23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia Duration: 23 May 2016 → 25 May 2016

Conference

Conference	23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016
Country/Territory	Slovakia
City	Bratislava
Period	23/05/16 → 25/05/16

Keywords

2D image acquisition
MatLab and LabView FPGA
Microscopic Imaging and analysis

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10.1109/IWSSIP.2016.7502728

Cite this

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title = "MBSEM image acquisition and image processing in LabView FPGA",

abstract = "Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 × 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.",

keywords = "2D image acquisition, MatLab and LabView FPGA, Microscopic Imaging and analysis",

author = "Shammi Rahangdale and Paul Keijzer and P. Kruit",

year = "2016",

doi = "10.1109/IWSSIP.2016.7502728",

language = "English",

volume = "2016-June",

editor = "{Rybarova }, R. and {Rozinaj }, G. and I., {Minarik } and Truchly P.",

booktitle = "IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing",

publisher = "IEEE",

address = "United States",

note = "23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 ; Conference date: 23-05-2016 Through 25-05-2016",

}

Rahangdale, S, Keijzer, P & Kruit, P 2016, MBSEM image acquisition and image processing in LabView FPGA. in R Rybarova , G Rozinaj , M I. & T P. (eds), IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing. vol. 2016-June, 7502728, IEEE, 23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016, Bratislava, Slovakia, 23/05/16. https://doi.org/10.1109/IWSSIP.2016.7502728

MBSEM image acquisition and image processing in LabView FPGA. / Rahangdale, Shammi; Keijzer, Paul; Kruit, P.
IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing. ed. / R. Rybarova ; G. Rozinaj ; Minarik I.; Truchly P. Vol. 2016-June IEEE, 2016. 7502728.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - MBSEM image acquisition and image processing in LabView FPGA

AU - Rahangdale, Shammi

AU - Keijzer, Paul

AU - Kruit, P.

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N2 - Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 × 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

AB - Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 × 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

KW - 2D image acquisition

KW - MatLab and LabView FPGA

KW - Microscopic Imaging and analysis

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M3 - Conference contribution

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ER -

MBSEM image acquisition and image processing in LabView FPGA

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Keywords

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