TITLE YOUR NAME TITLE YOUR NAME OVERVIEW Within the nanotechnology research community, possibilities for new breakthroughs are endless. Having the proper tools and technology are important in acquiring accurate data results. Nanotechnology has revolutionized the field of electronics and remote sensing, therefore this study will present preliminary calibration results on the use of hyperspectral imaging applied in a lab setting along with mathematical nanostructure simulations for predicting nanostructure particles on a surface. Throughout past studies, researchers have discovered that the use of e-beams on layered surfaces induce a unique nanostructure growth (Universal, 2014). Layered materials such as graphite, noval superconductors and topological insulators present defined patterns when induced with e-beams, that are usefulness in remote sensing and other relatable fields. E-beams contribute to growth on sample surfaces, which result in forming crystal structures simplified into carbon. “These carbon nanoparticles have strong broad-wavelength interactions in the visible light range, making the nanoparticles detectable in an optical microscope and of interest for a range of nanoscale electro-optical devices” (Universal, 2014).The induced growths are formed during the process called electron beam induced disposition. Knowledge on predicting and controlling nanostructure growth will surely benefit all areas of the future exponentially. To begin, we must first have the proper hyperspectral tools needed for viewing the composition of these objects. Furthermore, calibrating the hyperspectral camera will provide data on light admitted during focal length changes. Provide a margin of spectra error and provide absorption characteristics needed in viewing nano structures. RESEARCH GOAL & OBJECTIVES The first goal centers on creating a standard of measurement that will compare three different focal lengths relative to a constant aperture. These three measurements are: the initial factory lens at 12mm; the first zoom attachment at a total of 20mm; and the last attachment that will provide a 40 mm zoom capability. Therefore this will shape the first hypothesis, “In what ways can focal length effect the zoom capability”. In relation to the hypothesis, the larger emphasis are on, “can the spectra data provide an error correction standard”. The second goal can be divided into three objectives. The first objective starts with applying the theory in earlier research and test its validity with predicting nanostructure growth. This objective answers two sub questions (1) will the previous research method bring about the desired results of controlling the line width, height and halo size?; (2) is it possible to fuse multilayered nanostructures with pure carbon in order to create advanced stronger material. Thirdly, test with the hyperspectral camera on a nanostructure sample to receive specific optical absorption characteristics. The steps to completing these objectives include, 1) Topological, grapheme and multilayered surfaces, 2) application of AFM, Ebeam and EBID to surfaces with sampled material, 3) Use AFM and SEM to identify data results, 4) Apply a series of parameters to develop theories for modeling optimized beam parameters. This will influence the desired shapes to be created. 5) Use short wave inferred camera to analyze thermal and inferred results, 6) Compare and analyze the nanostructure results to answer the second hypothesis. My hypothesis states “Through the SEM process, a higher or lower e-beam voltage will affect the ratio of structure height compared to halo radius”. METHODS FLOWCHART Calibration of hyperspec VNIR imaging sensor,to assist in nanopartical predictions James Headen, Elizabeth City State UniversityDr. Tim Kidd, University of Northern Iowa METHODOLOGY RESEARCH EQUIPMENT A.Hyperspectral camera B.Standard lens C.20mm lens attachment D.40mm lens attachment E.Equation for particle prediction F.EBID process A B CD E F CALIBRATION RESULTS A B C Statistics A.Standard ( ) B.20mm (1.9 – 6 – 16) C.40mm (1.9 – 6 16) Spectral Profile I.Standard ( ) II.20mm (1.9 – 6 – 16) III.40mm (1.9 – 6 16) I II III Red = max Blue = min Yellow = -stdev Green = +stdev Coral = mean COMPARISON RESULTS “S1” “S2” A.Standard(1.4) 20mm(1.9) B.Standard(5.6) 20mm(6) C.Standard(22) 20mm(16) D.Standard(1.4) 40mm(1.9) E.Standard(5.6) 40mm(6) F.Standard(22) 40mm(16) G.20mm(1.9) 40mm(1.9) H.20mm(6) 40mm(6) I.20mm(16) 40mm(16) J.Total comparison ( Standard – 20mm – 40mm) A B CD EF G H I J Nanostructure application 40mm Black = 1.9 Red = 6 Green = 16 20mm Black = 1.9 Red = 6 Green = 16 ACKNOWLEDGEMENTS This research was funded by the National Science Foundation’s REU program in Interdisciplinary Research Experience in Hyperspectral Imaging at the University of Northern Iowa. Also, a big thank you to the UNI graduate students who assisted with this research, Matt Cooney, Tesfay Russell and Andrey Kushkin. CONCLUSION Reflectance values have a direct connection with focal length Infrared reflectance produced smaller values during calibration while visible light provided larger values Applying hyperspec imaging sensor to nanoparticles on a topological surface produced high reflectance infrared values as compared to calibration results Comparison results proved effective in classifying changes within wavelength variations 20mm zoom has highest effective optical results