2018
DOI: 10.1364/optica.5.000374
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Tabletop x-ray ghost imaging with ultra-low radiation

Abstract: The use of x-ray imaging in medicine and other research is well known. Generally, the image quality is proportional to the total flux, but high photon energy could severely damage the specimen, so how to decrease the radiation dose while maintaining image quality is a fundamental problem. In "ghost" imaging, an image is retrieved from a known patterned illumination field and the total intensity transmitted through the object collected by a bucket detector. Using a table-top x-ray source we have realized ghost … Show more

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Cited by 246 publications
(175 citation statements)
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“…In situ polymerization is one of the most recent methods and the most promising method to fabricate CNC/ polymer nanocomposites. Bionanocomposites based on PCL [227] and Poly(butylene succinate) [228] were successfully grafted onto CNC by in situ polymerization.…”
Section: Processing Of Cnc Nanocompositesmentioning
confidence: 99%
“…In situ polymerization is one of the most recent methods and the most promising method to fabricate CNC/ polymer nanocomposites. Bionanocomposites based on PCL [227] and Poly(butylene succinate) [228] were successfully grafted onto CNC by in situ polymerization.…”
Section: Processing Of Cnc Nanocompositesmentioning
confidence: 99%
“…Ghost imaging (GI) is an imaging technique that generates the image of an object by calculating the second-order correlation function between two light beams [1][2][3][4][5][6]. Ghost imaging has been widely researched in recent years [7][8][9][10][11][12][13][14][15][16]; it has important applications in many fields such as cryptography [17,18], lidar [19,20], medical imaging [21,22], micro object imaging [23,24], three-dimensional imaging [25][26][27][28] and single-pixel imaging [29][30][31][32][33]. In many practical scenes, GI is subject to interference from the transmission medium and from optical background noise.…”
Section: Introductionmentioning
confidence: 99%
“…The image can be formed without a lens (lensless ghost imaging) [6][7][8] or only by using a single-pixel detector (computational ghost imaging, CGI) [9][10][11]. Due to the underlying physics and potential applications in many fields, including lidar [12], tomography [13], and medical imaging [14][15][16], GI has attracted much attention in recent years [17][18][19][20][21][22]. It has also been extended to different domains with certain freedoms of correlation, including atomic domain [23,24], time domain [25][26][27], and spiral imaging [28,29].…”
Section: Introductionmentioning
confidence: 99%
“…This limitation stems from conventional GI algorithms. For example, the background subtraction algorithm requires the second-order correlation function calculation [3,4,10,16]…”
Section: Introductionmentioning
confidence: 99%