X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/dmems12.git/blobdiff_plain/961aed44358c71a04ebcb5aace3d3be4cff962f4..85ccdc9bbf8d6b30f5737245a16d277a7713908c:/dmems12.tex

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@@ -63,7 +63,15 @@
 
 \begin{abstract}
 
-  
+Atomic force  microscope (AFM) provides  high resolution images of  surfaces. We
+focus  our attention  on an  interferometry method  to estimate  the cantilevers
+deflection.   This method  was based  on the  spline method  to  interpolate the
+deflection and  the computations were performed  on a PC with  LabView.  In this
+paper, we propose a  new method based on the least square  method and we present
+the implementation that we developped on a FPGA.  Our method can be pipelined on
+a FPGA in order to manipulate image profiles very quickly.  Simulations and real
+tests we have performed showed us that this implementation is very efficient and
+should allow us to control of a cantilevers array in real time.
 
 
 \end{abstract}
@@ -761,7 +769,16 @@ could accept new profiles of pixel each 48 cycles, i.e. 480$n$s.
 
 
 \section{Conclusion and perspectives}
-
+In  this paper  we  have presented  a  new method  to  estimate the  cantilevers
+deflection in  an AFM.  This  method is based  on least square methods.  We have
+studied  the  quantization  of this  algorithm  and  have  implemented it  on  a
+FPGA. Our method gives comparable  results compared to the initial version based
+on splines.   Our solution has been be  implemented with a  pipeline technique.
+Consequently, it enables  to handle a new profile  image very quickly. Currently
+we have performed simulations and real tests on a Spartan6 FPGA.
+
+In future  work, we want to couple  our algorithm with a  high speed camera
+and we plan to control the whole AFM system.
 
 \bibliographystyle{plain}
 \bibliography{biblio}
