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| Hauptseite > Publikationsdatenbank > SIPM sensor chip > print |
| 001 | 908694 | ||
| 005 | 20220822191446.0 | ||
| 013 | _ | _ | |a US10605931B2·2020-03-31 |
| 024 | 7 | _ | |a US201615776843A2016-12-02 |2 Patent |
| 037 | _ | _ | |a FZJ-2022-02768 |
| 100 | 1 | _ | |a Lerche, Christoph |0 P:(DE-Juel1)164254 |b 0 |u fzj |
| 245 | _ | _ | |a SIPM sensor chip |
| 260 | _ | _ | |c 2020 |
| 336 | 7 | _ | |a PATENT |2 ORCID |
| 336 | 7 | _ | |a Patent |b patent |m patent |0 PUB:(DE-HGF)23 |s 1661151674_7222 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a patent |2 DRIVER |
| 336 | 7 | _ | |a TECHREPORT |2 BibTeX |
| 336 | 7 | _ | |a Patent |0 15 |2 EndNote |
| 336 | 7 | _ | |a Patent |2 DataCite |
| 520 | _ | _ | |a A SiPM sensor chip with a plurality of pixels includes a photodiode; a quench resistor; and a current divider configured to divide the photocurrent of the photodiodes into two currents of equal size. The current divider Sq,nm or Snm lead to networks NS,h,n and NS,V,m, each of which leads to additional current dividers Sh,n and Sv m having coding resistors Rh,A,n and Rh,B,n, and Rv,c,m and Rv D m, which are linearly coded and which lead to output channels A, B, C, D, with these sensor features being integrated into the sensor chip. The networks Ns,h,n and/or NSiVlm each lead to a summation network Oh and/or Ov, in which the signals of the networks Ns,h,n and/or NS,v,m are merged via summation resistors Rs,h,n and Rs,v,m, respectively, and lead to the output channels E and/or F. |
| 536 | _ | _ | |a 5253 - Neuroimaging (POF4-525) |0 G:(DE-HGF)POF4-5253 |c POF4-525 |f POF IV |x 0 |
| 700 | 1 | _ | |a Berneking, Arne |0 P:(DE-Juel1)159131 |b 1 |
| 700 | 1 | _ | |a Shah, N. J. |0 P:(DE-Juel1)131794 |b 2 |e Corresponding author |u fzj |
| 909 | C | O | |o oai:juser.fz-juelich.de:908694 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)164254 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)131794 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5253 |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-4-20090406 |k INM-4 |l Physik der Medizinischen Bildgebung |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-11-20170113 |k INM-11 |l Jara-Institut Quantum Information |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)VDB1046 |k JARA-BRAIN |l Jülich-Aachen Research Alliance - Translational Brain Medicine |x 2 |
| 980 | _ | _ | |a patent |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-4-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)INM-11-20170113 |
| 980 | _ | _ | |a I:(DE-Juel1)VDB1046 |
| 980 | _ | _ | |a UNRESTRICTED |
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