Photon etc.

Photon etc.
Corporation
Industry Nanotechnology
Founded 2003
Headquarters Montreal, QC, Canada
Area served
 International
Key people
 CEO : Sébastien Blais-Ouellette, Ph. D.
CTO : Marc Verhaegen, Ph.D.
Project Director : Daniel Gagnon
Director of Electronic & Software Engineering : Simon Lessard
Number of employees
 25-30
Website www.photonetc.com

Photon etc. is a Canadian manufacturer of infrared cameras, hyperspectral imaging and spectroscopic scientific instruments for academic and industrial applications. Its main technology is based on volume Bragg gratings, which are used as filters either for swept lasers or for global imaging.

History

As a spin-off of the California Institute of Technology,[1] the company was founded in 2003 by Sébastien Blais-Ouellette [2][3] who was working on narrow band imaging tunable filters for the detection of hydroxyl groups in the Earth atmosphere. This is how he developed the main technology of the company, a patented [4][5][6] volume Bragg grating for filtering purposes.

The company was first established in the J.-Armand Bombardier Incubator at Université de Montréal where it benefited from complete infrastructures and proximity to researchers. After 5 years, Photon etc. moved to its actual location at the “Campus des technologies de la santé″ in the Rosemont district of Montréal. Photon etc. has 25 employees in Canada and has received several awards and recognitions (Québec Entrepreneur of the Year (finalist),[7] CCFC (winner),[8] Fondation Armand-Frappier (winner - prix émergence),[9] Prism Award (finalist) [10]). In the last ten years, the company has developed numerous collaborations,[11][12][13] filed several patents and created spin-off companies in various domains: Photonic Knowledge (mining exploration), Nüvü Cameras (EMCCD cameras) [14] and Optina Diagnostics (retinal imaging).[15] More recently, in June 2015, Photon etc. expanded its expertise in nanotechnology and launched a new division, Photon nano. Photon Nano provides Raman, fluorescence and plasmonic labels synthesised by top research laboratories. Those labels are mainly employed in multiplexing applications for cellular imaging.

Technology

Photon etc.'s core technology is a continuously tunable filter based on volume Bragg gratings. It consists of a photo-thermo-refractive glass with a periodically varying index of refraction in which the modulation structure can be orientated to transmit or reflect incident light.[16] In order to select a particular wavelength that will be filtered (diffracted), the angle of the filter is adjusted to meet Bragg condition:[17][18]

\lambda_B = 2n\Lambda\sin(\theta + \phi) \,,

where n is an integer, λB is the wavelength that will be diffracted, Λ is the step of the grating, θ is the angle between the incident beam and the normal of the entrance surface and φ is the angle between the normal and the grating vector. For transmission gratings, Bragg planes are perpendicular to the entrance surface (φ=π/2) while for reflection gratings, Bragg plans are parallel to the entrance surface (φ=0). If the beam does not meet the Bragg condition, it passes through the filter, undiffracted.

In a Bragg filter, the incoming collimated light is first diffracted by a volume filter and only a small fraction of the spectrum is affected. Then, by using a second parallel filter with the same modulation period, light can be recombined and an image can be reconstructed.[19]

Hyperspectral imaging

The company commercializes hyperspectral imaging systems based on volume Bragg gratings. This technique combines spectroscopy and imaging : each image is acquired on a narrow band of wavelength (as small as 0.3 nm). The monochromatic images acquired form a hyperspectral data cube, which contains both the spatial (x,y axes) and spectral (z axis) information of a sample.

In this technique, global imaging is used in order to acquire large area of a sample without damaging it.[20] In global imaging, the whole field of view of the microscope objective is acquired at the same time compared to point-by-point techniques where either the sample or the excitation laser needs to be moved in order to reconstruct a map. When combined to microscopy, darkfield or brightfield illumination can be employed and various experiments can be carried out such as:

Tunable filters

The volume Bragg grating technology is also used to design tunable bandpass filters for various light sources. This technology combines an out-of-bande rejection of <-60 dB and an optical density higher than OD 6 with a tunability over the visible and near infrared regions of the electromagnetic spectrum.

Tunable lasers

The Bragg grating filtering technology can be coupled to a supercontinuum laser in order to generate a tunable laser source. Supercontinuum sources are usually a high-power fiber laser which delivers ultra broadband radiation and can be used for steady-state or lifetime experiments.[13] This ultra broad radiation is obtained when a laser is directed through a nonlinear medium. From there, a collection of highly nonlinear optical processes (e.g.: four-wave mixing, Raman shifting of the solitons) add up together which create the supercontinuum emission. Coupled with the proper filter it can deliver a quasi-monochromatic output over a spectral range going from 400 nm to 2,300 nm. This tool can be used in several experiments and fields of research which includes:

Infrared cameras

Photon etc. designs and manufactures low noise infrared cameras sensitive from 850 nm to 2,500 nm. Their HgCdTe (MCT) focal plane array (FPA) were first developed for faint flux measurements and are now used for Astronomy, Spectroscopy, Quality control and Sorting.

Applications

Photovoltaics

Photovoltaic devices can be characterized by global hyperspectral imaging by electroluminescence (EL) and photoluminescence (PL) mapping. This technique allows the characterization of different aspects of photovoltaic cells : open circuit voltage, transport mechanisms,[21] external quantum efficiency,[22] saturation currents,[23] composition map, uniformity components, crystallographic domains, stress shifts and lifetime measurement for material quality. It has in fact already been employed for the characterization of Cu(In,Ga)Se2 (CIGS) [22][24] and GaAs [21] solar cells. In their study, researchers from IRDEP (Institute of Research and Development on Photovoltaic Energy) were able to extract maps of the quasi-fermi level splitting and of the external quantum efficiency with the help of photoluminescence and electroluminescence hyperspectral measurements combined with a spectral and photometric absolute calibration method.

Health and life science

Since global hyperspectral imaging is a non-invasive technique, it gained popularity in the last few years in the health domain.[25][26] For example, it has been used for the early diagnosis of retina anomalies (e.g.: age-related macular degeneration (AMD), retinal vessel oxygen saturation [27]), in the biomedical field in addition to neurology and dermatology for the identification and location of certain proteins (e.g.: hemoglobin) or pigments (e.g.: melanin).

In life science, this technique is used for darkfield and epifluorescence microscopy. Several studies showed hyperspectral imaging results of gold nanoparticles (AuNPs) targeting CD44+ cancer cells [28] and quantum dots (QDs) for the investigation of molecular dynamics in the central nervous system (CNS).

Moreover, hyperspectral imaging optimized in the near-infrared is a well suited tool to study single carbon nanotube photoluminescence in living cells and tissues. In a Scientific Reports paper, Roxbury et al.[29] presents simultaneous imaging of 17 nanotube chiralities, including 12 distinct fluorescent species within live cells. The measurements were performed ex vivo and in vivo.

Semiconductors

After the invention of the transistor in 1947 the research on semiconductors materials took a big step forward. One technique that emerged from this consists of combining Raman spectroscopy with hyperspectral imaging which permits characterisation of samples due to Raman diffusion specificity. For example, it is possible to detect stress, strain and impurities in silicon (Si) samples based on frequency, intensity, shape and width variation in the Si phonon band (~520 cm−1).[30][31] Generally, it is possible to assess material's crystalline quality, local stress/strain, dopant and impurity levels and surface temperature.[32]

Nanomaterials

Nanomaterials have recently raised a huge interest in the field of material science because of their colossal collection of industrial, biomedical and electronic applications. Global hyperspectral imaging combined with photoluminescence, electroluminescence or Raman spectroscopy offers a way to analyse those emerging materials. It can provide mapping of samples containing quantum dots,[33] nanowires, nanoparticles, nanotracers,[34][35] etc. Global hyperspectral imaging can also be used to study the diameter and chirality distribution [36] and radial breathing modes (RBM) [37] of carbon nanotubes. It can deliver maps of the uniformity, defects and disorder while providing information on the number and relative orientation of layers, strain, and electronic excitations. It can hence be employed for the characterization of 2D materials such as graphene and molybdenum disulfide (MoS2).[38]

Industrial

Hyperspectral Imaging allows extracting information on the composition and the distribution of specific compounds. Those properties make hyperspectral imaging a well suited techniquue for the mining industry. Taking advantage of the specific spectral signature of minerals Photonic Knowledge's Core Mapper™ offers instant mineral identification. This technology delivers monochromatic images and fast mineralogy mapping. The widefield modality renders possible the identification of minerals signatures but also the classification of plants (e.g.: weed, precision agriculture) and food (e.g.: meat freshness, fruit defects) and can be use for diverse outdoor applications.[39]

Being able to quickly and efficiently detect explosive liquid precursors represents an important asset to identify potential threats. Hyperspectral camera in the SWIR region allows such detection by acquiring rapidly spectrally resolved images. The monochromatic full-frame images obtained permits fast identification of chemical compounds. Detection of sulfur by laser-induced breakdown spectroscopy (LIBS) can also be easily achieved with holographic Bragg grating used as filtering elements.[40]

Instrument calibration and characterization

Calibration of measuring instruments (e.g. : photodetector, spectrometer) is essential if researchers want to be able to compare their results with those of different research groups and if we want to maintain high standards. Spectral calibration is often needed and requires a well-known source that can cover a wide part of the electromagnetic spectrum. Tunable laser source possess all of the above requirements and are hence particularly appropriate for this type of calibration.

Before the Gemini Planet Imager (GPI) was sent to Gemini South it was necessary to calibrate its coronagraph. For this matter a nearly achromatic and collimated source that could cover 0.95-2.4 µm was needed. Photon etc.’s efficient tunable laser source was chosen to test the coronagraph. The tunable source was able to provide an output across the whole GPI wavelength domain.[41][42]

Thin-film filters are necessary elements in optical instrumentation. Band-pass, notch and edge filters now possess challenging specifications that are sometimes demanding to characterize. Indeed, optical density (OD) higher than 6 are difficult to identify. This is why a group of researchers from Aix Marseille Université developed a spectrally resolved characterization technique based on a supercontinuum source and a laser line tunable filter. The method is described in details in Liukaityte et al. paper from Optics Letter [43] and allowed to study thin-film filters with optical densities from 0 to 12 in a wavelength range between 400 and 1000 nm.

References

  1. ↑ http://innovation.caltech.edu/startups, CALTECH Office of Technology Transfer, "Past/Current Startups", retrieved January 2015
  2. ↑ Champagne, Stéphane. "Des étoiles à l'entrepreneuriat". lapresse.ca. Retrieved 21 December 2014.
  3. ↑ Turcotte, Claude. "Portrait d'entreprise - Voir grand dans l’outil optique". ledevoir.com. Retrieved 31 January 2015.
  4. ↑ S. Blais-Ouellette; "Method and apparatus for a Bragg grating tunable filter", US patent 7557990 (B2), issued Jul 7, 2009, http://www.google.com/patents/US7557990
  5. ↑ S. Blais-Ouellette; E. Wishnow; "Spectrographic multi-band camera", US patent 8237844 (B2), issued Apr 25, 2006, http://www.google.com/patents/US8237844
  6. ↑ S. Blais-Ouellette; K. Matthews; C. Moser; "Efficient multi-line narrow-band large format holographic filter", US patent US7221491 (B2), issued Apr 18, 2006, http://www.google.com/patents/US7221491
  7. ↑ "EY announces 2014 Québec Entrepreneur of the YearTM finalists today". www.newswire.ca. Retrieved 29 January 2015.
  8. ↑ "Grand Prix d’excellence en affaires France-Québec 2009". akova.ca. Retrieved 29 January 2015.
  9. ↑ Tanguay, Claude. "Pour l'avancement de la recherche en santé - rapport annuel" (PDF). Retrieved 29 January 2015.
  10. ↑ "Prism Awards Finalists". www.photonics.com. Retrieved 29 January 2015.
  11. ↑ Malorie, Bertrand (February 24, 2015). "Research-business partnership creates unique image system". INNOVATION. Retrieved 19 March 2015.
  12. ↑ "IRDEP to Showcase Photon etc's Hyperspectral Analyzer for Photovoltaics Industry". AZO Cleantech. October 6, 2010. Retrieved 19 March 2015.
  13. 1 2 Pouliot, François. "Une alliance internationale qui donne plus de crédibilité à Photon etc.". Retrieved 2 September 2014.
  14. ↑ Ouatik, Bouchra. "Nüvü Caméras: voir ce que les autres ne voient pas". lapresse.ca. Retrieved 31 January 2015.
  15. ↑ Dubuc, Adnré. "Maladies de la rétine: une caméra qui détecte de façon précoce". lapresse.ca. Retrieved 31 January 2015.
  16. ↑ A. L. Glebov; et al. (2012). "Volume Bragg Gratings as Ultra-Narrow and Multiband Optical Filters". Invited Paper, Proc. of SPIE Vol. 8428 84280C-1. doi:10.1117/12.923575.
  17. ↑ C. Kress, Bernard (2009). Applied Digital Optics : From Micro-optics to Nanophotonics. ISBN 978-0-470-02263-4.
  18. ↑ Ciapurin, Igor V; Glebov, Leonid B.; Smirnov, Vadim I. (2005). "Modeling of Gaussian beam diffract ion on volume Bragg gratings in PTR glass". Proc. of SPIE 5742. doi:10.1117/12.591215.
  19. ↑ S. Blais-Ouellette; et al. (2006). "The imaging Bragg tunable filter: a new path to integral field spectroscopy and narrow band imaging". Proc. SPIE 6269, Ground-based and Airborne Instrumentation for Astronomy. doi:10.1117/12.672614.
  20. ↑ W. Havener; et al. (2012). "High-throughput Graphene Imaging on Arbitrary Substrates with Widefield Raman Spectroscopy". ACS Nano 6: 373–380. doi:10.1021/nn2037169. PMID 22206260.
  21. 1 2 A. Delamarre; et al. (2012). "Characterization of solar cells using electroluminescence and photoluminescence hyperspectral images". Proc. SPIE. doi:10.1117/12.906859.
  22. 1 2 A. Delamarre; et al. (2013). "Evaluation of micrometer scale lateral fluctuations of transport properties in CIGS solar cells". Proc. Of SPIE 100. doi:10.1117/12.2004323.
  23. ↑ A. Delamarre; et al. (2012). "Contactless mapping of saturation currents of solar cells by photoluminescence". Appl. Phys. Lett. 100: 131108. doi:10.1063/1.3697704.
  24. ↑ A. Delamarre; et al. (2014). "Quantitative luminescence mapping of Cu(In,Ga)Se2 thin-film solar cells". Progress in Photovoltaics. doi:10.1002/pip.2555.
  25. ↑ Grahn, F. Hans; Geladi, Paul (October 2007). Techniques and applications of hyperspectral image analysis. Wiley. pp. 313–332. ISBN 978-0-470-01086-0.
  26. ↑ Lu, Guolan; Fei, Baowei (January 20, 2014). "Medical hyperspectral imaging: a review". Journal of Biomedical Optics 19 (1): 010901. doi:10.1117/1.JBO.19.1.010901. PMID 24441941.
  27. ↑ A.M. Shahidi; et al. (2013). "Regional variation in human retinal vessel oxygen saturation". Experimental Eye Research 113: 143–147. doi:10.1016/j.exer.2013.06.001.
  28. ↑ S. Patskovsky; et al. (2014). "Wide-field hyperspectral 3D imaging of functionalized gold nanoparticles targeting cancer cells by reflected light microscopy". Biophotonics 9999: 1–7. doi:10.1002/jbio.201400025.
  29. ↑ Roxbury, Daniel; Prakrit V, Jena; M. Williams, Ryan; Enyedi, Balázs; Niethammer, Philipp; Stéphane, Marcet; Verhaegen, Marc; Blais-Ouelette, Sébastien; Daniel, Heller (18 August 2015). "Hyperspectral Microscopy of Near-Infrared Fluorescence Enables 17-Chirality Carbon Nanotube Imaging". Scientific Reports 5: 14167. doi:10.1038/srep14167.
  30. ↑ Yeo, Boon-Siang; Schmid, Thomas; Zhang, Weihua; Zenobi, Renato (2009). "Chapter 15: Spectroscopic Imaging with Nanometer Resolution Using Near-Field Methods". In Salzer, Reiner; W. Siesler, Heinz. Infrared and Raman Spectroscopic Imaging. Wiley-VCH Verlag GmbH & Co. KGaA. p. 473. doi:10.1002/9783527628230.ch15. ISBN 9783527628230.
  31. ↑ J.D. Caldwell, L. Lombez, A. Delamarre, J.F. Guillemoles, B. Bourgoin, B. Hull, M. Verhaegen, Luminescence Imaging of Extended Defects in SiC via Hyperspectral Imaging. Silicon carbide and related materials 2011, PTS2, Materials Science Forum, 717-720, 403-406, 10.4028/www.scientific.net/MSF.717-720.403
  32. ↑ S. Marcet; et al. (2012). "Raman spectroscopy hyperspectral imager based on Bragg tunable filters". Proc. SPIE 8412. doi:10.1117/12.2000479.
  33. ↑ Fogel P. et al., "Evaluation of unmixing methods for the separation of Quantum Dot sources," Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on , 2009 doi: 10.1109/WHISPERS.2009.5289020, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5289020&isnumber=5288971
  34. ↑ Univalor Infoletter, May 2013, Univalor, "Photon etc. starts the commercialization of Raman nanotracers invented by Professor Richard Martel of the Université de Montréal", Montreal, http://www.univalor.ca/en/node/359
  35. ↑ Robic VOL.17 N°1, 2013, "Fighting Counterfeiting: Photon Etc. and the University of Montreal Develop Technology for Molecular Signature", Montreal, http://newsletter.robic.ca/nouvelle.aspx?lg=EN&id=256
  36. ↑ Nesbitt, J.; Smith, D. (2013). "Measurements of the Population Lifetime of D Band and G′ Band Phonons in Single-Walled Carbon Nanotubes". Nano Letters 13 (2): 416–422. doi:10.1021/nl303569n.
  37. ↑ M. Verhaegen; S. Blais-Ouellette; Carbon Nanotube Characterization by Resonance Raman Spectroscopy, Spectroscopy Application Notebook, September 2010, http://www.spectroscopyonline.com/spectroscopy/article/articleDetail.jsp?id=688629
  38. ↑ Ferrari, A.C.; et al. "Raman spectroscopy as a versatile tool for studying the properties of graphene". Nature Nanotechnology 8: 235–246. doi:10.1038/nnano.2013.46.
  39. ↑ Eckhard, Jia; Eckhard, Timo; Valero, Eva M.; Nieves, Juan Luis; Contreras, Estibaliz Garrote (February 13, 2015). "Outdoor scene re ectance measurements using a Bragg-grating based hyperspectral imager". Applied Optics 54: D15. doi:10.1364/ao.54.000d15.
  40. ↑ D. Gagnon; et al. (2012). "Multiband Sensor Using Thick Holographic Gratings for Sulphur Detection by Laser-Induced Breakdown Spectroscopy". Applied Optics 51: B7. doi:10.1364/AO.51.0000B7.
  41. ↑ S. R. Soummer; et al. (2009). "The Gemini Planet Imager coronagraph testbed". Proc. SPIE 7440 Techniques and Instrumentation for Detection of Exoplanets IV. doi:10.1117/12.826700.
  42. ↑ Testing the Gemini Planet Imager coronograph: http://www.photonetc.com/space-astronomy
  43. ↑ Liukaityte, Simona; Lequime, Michel; Zerrad, Myriam; Begou, Thomas; Amra, Claude. "Broadband spectral transmittance measurements of complex thin-film filters with optical densities of up to 12". Optics Letters 40 (14): 3225–3228. doi:10.1364/OL.40.003225.

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