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LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
LLTECH LIGHT-CT SCANNER IMAGE ATLAS
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LLTECH LIGHT-CT SCANNER IMAGE ATLAS

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Document showing the imaging capabilities of the LLTech's Light-CT scanner. …

Document showing the imaging capabilities of the LLTech's Light-CT scanner.
The Light-CT scanner has amazing imaging capabilities due to its ultra high resolution (1.5 X 1.5 X 1 µm). It offers the capability to do optical slices under the surface of the analyzed sample. The imaging process is fast, easy an safe for both the user and the sample. No staining is required.

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  • 1. Atlas  of  images     February  2013  www.lltechimaging.com © LLTECH 2011 1
  • 2. TABLE  OF  CONTENTS   •  BREAST  Page  10   •  BRAIN    Page  15   •  SKIN    Page  21   •  LUNG    Page  31   •  KIDNEY  Page  35   •  EYE    Page  39   •  NEEDLE  CORE    Page  45   •  EMBRYOLOGY  Page  48   •  PLANTS  Page  56  © LLTECH 2011 2
  • 3. The  Light-­‐CT  scanner  allows  fast  >ssue  processing  and   pathology  examina>on.  It  completes  the  toolset  available  to   pathologists   Tissue  Scanner   3D   Biopsy   Digital  Image   5-­‐8  minutes  Non-­‐DestrucIve   2D   Digital  Image   Slide   15-­‐12  mins   When  Frozen  SecIon  is  needed     Artefacts   (Mostly  Intra-­‐operaIve)   DestrucIve   12-­‐24  hours   When  Chemical  FixaIon  is  needed     Expensive   (Mostly  DiagnosIc)   DestrucIve   © LLTECH 2011 3
  • 4. Imaging  in  sca]ering  media:  techniques   u  LightCT© LLTECH 2011 ©  LLTECH  2012  –  www.lltechimaging.com     4
  • 5. Light-­‐CT  scanner   OpIcal   acquisiIon  unit,  •  User  friendly   moving  verIcally   acquisiIon   soaware  •  DICOM  2D   Movable  tray   and  3D   with  sample   Viewer     holder   X,Y  moving  stage   White  Light   JoysIck  for  easy   Integrated  wide  field  camera  to   Source   control  of  X,Y,  Z   take  sample  picture  before   movements   imaging   © LLTECH 2011 ©  LLTECH  2012  –  www.lltechimaging.com     5
  • 6. Light-­‐CT™  key  benefits  •  OpIcal  in-­‐depth  biopsies  of  gross  Issue  within  minutes  •  1  µm  2D  and  3D  histopathological  resoluIon    •  Easy  exploraIon,  acquisiIon  and  rendering  in  DICOM  format  •  Safe,  non-­‐invasive  and  non-­‐destrucIve  process     Fast  and  non-­‐invasive  3D  in-­‐depth  structural  and  cellular  imaging  
  • 7. Light  CT  technology  Based  on  Full-­‐Field  OpIcal  Coherence  Tomography  (FFOCT)  Combines  microscope  resoluIon  with  interferometry  High  resoluIon  in-­‐depth  C  scans     Commercial  device  specs:   •  Excellent  resoluIon:  1.5µm  transverse,  1µm  axial   •  70Hz  max.  tomographic  frame  rate  –  0.8  mm  x  0.8  mm   •  PenetraIon  depth  200µm  –  1mm  depending  on  Issue  sca]ering   •  25  mm  diameter  sample  size   •  Small  footprint:  Scanner  and  light  source  fit  on  70  cm  x  35  cm    
  • 8. Image  acquisiIon   1.Prepare   2.  Select  area  to  be   3.  AutomaIc       4.  Analyze  result  in   sample   scanned   scanning   the  viewer  §  Put  sample   •  The  system   •  The  user  selects  the   •  Results  are  analyzed  in  the   into  holder   takes  a  wide   area  to  be  scanned   DICOM  viewer  §  Put  sample   field  picture   from  the  wide  field   •  2D  and  3D  rendering   holder  into   image   •  DICOM  image  database   tray   •  The  user  launches  the   •  Export  to  various  formats:   automaIc  scanning   DICOM,  TIF,  JPEG,  GIF…   •  MulIple  languages  for   image  viewer  (English,   Fast  and  easy  process:  1  cm2  in  5-­‐7  minutes   Arabic,  French…)   © LLTECH 2011 8
  • 9. PATHOLOGY  APPLICATIONS     INTRAOPERATIVE  DIAGNOSIS  © LLTECH 2011 9
  • 10. BREAST  AND  LYMPH  NODES  © LLTECH 2011 10
  • 11. Healthy  breast  Issue   Assayag  et  al,  TCRT  Express  2013  in  press   Grainy  aspect  of  normal   Duct  with   Lobule   Adipocytes   Vessel   fibrous  Issue   calcificaIon  ©  LLTech  2012   © LLTECH 2011 Courtesy  of  Hôpital  Tenon,  Paris,  France   11
  • 12. INVASIVE  ADENOCARCINOMA  :    NODULAR  TUMOR     Interface  of  the  tumourous  and   normal  appearing    part  :     Different  aspect  of  the  fibrous  >ssue     Tumour  margin   500µm   Highly   scaHering  thin   trabeculae   aspect:  fibrous   >ssue  in  the   tumourous  part   100µm   Grey  zones  corresponding  to   Grainy     foci  of  carcinomatous  cells   medium   scaHering   aspect:  healthy   500µm   SENSITIVITY=  97%   fibrous  >ssue    ©  LLTECH  2011   © LLTECH 2011 SPECIFICITY=74%   12
  • 13. Normal  Sen>nel  Node   Adipocytes  in  hilum  Nodules  containing  lymphoid  >ssue   © LLTECH 2011 Capsule   13
  • 14. SENSITIVITY=  100%   Invaded  Sen>nel  Node   SPECIFICITY=97%   Invaded  zone  Lymphoid  zone  Bright  white  aspect,  highly  scaHering  dense  collagen  meshwork  Grieve  et  al  Proc  SPIE  2013   © LLTECH 2011 14
  • 15. BRAIN  AND  SPINAL  CORD  © LLTECH 2011 15
  • 16. FF-­‐OCT  imaging  of  human  epilep>c  brain  and  cerebellum  iden>fies  myelinated   axon  fibers,  a  subpopula>on  of  neuronal  cell  bodies  and  CNS  vasculature.     Cortex   Neuron  cell  bodies  (dark  dots)   Axon  bundles   Axons/myelin  fibers     Capillary   White  maHer  Harms  et  al  Proc  2011 2013   © LLTECH SPIE   16
  • 17. Hippocampus:  Coronal  sec>on  (led  side)     Sub-­‐   Ependymal     zone   Pyramidal  neurons  of  the  CA4  field   responsible  for  memory   CA4  field   Alveus   Stratum  radiatus     Hippocampal  sulcus   of  the  CA1  field  Stratum  granulosum  of  the  dentate  gyrus   CA1  field  of  the  cornus  ammonis   © LLTECH 2011 17
  • 18. FF-­‐OCT  images  dis>nguish  meningiomas  from  meningeal   haemangiopericytoma   Meningioma  psammoma  –  diagnosis  possible  directly  on  FF-­‐OCT  image   Collagen  bundles   Whorls   CalcificaIon  80%  of  meningiomas  are  benign.   Collagen  balls    Histologically,  meningioma  cells  are  relaIvely  uniform,  with  a  tendency  to  encircle  one  another,  forming  whorls  and  psammoma  bodies  (laminated  calcific  concreIons).They  have  a  tendency  to  calcify  and  are  highly  vascularized.  Areas  of  fibrosis  may  be  present.   18 © LLTECH 2011
  • 19. RAT  BRAIN  :  Different  zoom  levels  16x13mm2   4x4mm2     1x1mm2     Advanced    Imaging  in    Bio   © LLTECH 2011 19
  • 20. Spinal  cord  :  normal  Issue   100 µm Arrows: Fibers transverse cut 500 µm 100 µm© LLTECH 2011 20
  • 21. DERMATOLOGY  AND  COSMETICS  © LLTECH 2011 21
  • 22. Normal  skin  morphology   a   Epidermis   c   b   Collagen   d   e   500  µm   Pilosebaceous   unit   Sweat  gland   Adipocytes   Dalimier and Salomon Dermatology 224, 84-92 (2012)©  LLTech  2012   © LLTECH 2011 Courtesy  of  Hopitaux  Universitaires  de  Genève,  Genève,  Switzerland   22
  • 23. Skin  verIcal  reconstrucIon  from  en-­‐face  slicing  for  layers   assesment  and  measurement   KN:  KeraInocyte  nuclei   Papillary  melanin  caps   BV:  Blood  vessels   Stratum  corneum   KN   KN   KN   Stratum  spinosum   BV   BV   BV   Dermis   50  µm   VerIcal  reconstrucIon  of  skin  model   KeraInocyte  nuclei   Stratum  corneum   Stratum  spinosum   Dermis   50 µm©  LLTech  2012   © LLTECH 2011 Courtesy  of  Hopitaux  Universitaires  de  Genève,  Genève,  Switzerland   23
  • 24. 3D  reconstrucIon  from  en-­‐face  slicing   Epidermis  and  dermis  separated  by  sodium  bromide   Epidermis   Dermis   800  µm  x  800  µm   800  µm  x  800  µm   Wrinkle   Stratum  corneum   Stratum  spinosum   Dermal  papilla   Collagen   Blood  vessel   50 µm 50 µm Reconstructed  verIcal  slice   Reconstructed  verIcal  slice  © LLTech 2012 © LLTECH 2011 Courtesy of Hopitaux Universitaires de Genève, Genève, Switzerland 24
  • 25. Adipocytes   200  µm   9um  depth   27um  depth   60um  depth  Reconstructed  depth  slice   50  µm   © LLTECH 2011 25
  • 26. Skin  pathologies:  basal  cell  carcinoma  discriminaIon  at   structural  level   Dense  peritumoral  stroma  © LLTech 2012 © LLTECH 2011 Courtesy of Hopitaux Universitaires de Genève, Genève, Switzerland 26
  • 27. Zoom  on  basal  cell  carcinoma:  discriminaIon  at  cellular  level   Peritumoral  stroma   High  cell  density   200  µm   100  µm  ©  LLTech  2012   © LLTECH 2011 Courtesy  of  Hopitaux  Universitaires  de  Genève,  Genève,  Switzerland   27
  • 28. Skin  in-­‐vivo:  fingerprint  imaging  in  3D       Fingerprints    3D  reconstrucIon   FOV  800  µm  x  800  µm  Sweat  ducts   Corneocytes   LightCT  arm  support  add-­‐ on  allows  in  vivo  imaging   100 µm on  arm,  hand,  fingers   En-­‐face  image  of  fingerprints   © LLTECH 2011 28
  • 29. Skin  in-­‐vivo:  skin  layers  imaging  en  face  and  in  verIcal   reconstrucIon   Stratum  corneum   Stratum  spinosum   Dermis  Stratum  corneum  Stratum  spinosum   Dermis   100  µm   EvaluaIon  of  stratum   corneum  thickness:     15  µm   © LLTECH 2011 29
  • 30. Mouse  skin  in  vivo   20um  depth   En-­‐face  slices  in  thigh  region   10um  depth   FOV  1mm2   PenetraIon  to  200um     Hairs  near  surface   35um  depth   85um  depth   Hair  follicles   Collagen  fibers  ©  LLTech  2012   © LLTECH 2011 Courtesy  of  InsItut  Langevin,  Paris,  France   30
  • 31. LUNG  © LLTECH 2011 31
  • 32. Cross  secIon  of  rat  lung   Scale  bar  =J    0.5  mm  nform  2011,    2:28.     Jain  et  al.   Pathol  I© LLTECH 2011 32
  • 33. Image  from  non-­‐neoplasIc  human  lung  Issue   Collapsed  lung   Alveoli   Blood  vessel  FOV:  FFOCT  ~  4  mm  x  4  mm;  H&E  =  4X     Jain  et  al.  Pathology  Visions  2013.     © LLTECH 2011 33
  • 34. Adenocarcinoma  of  lung  with  lepidic  &  invasive  components     Invasive     Invasive     Lepidic    Lepidic     Invasive     Invasive     © LLTECH 2011 FOCT  ~  4  mm  x  4  mm;  H&E  =  4X  .  Insets:  FFOCT  ~  0.375mm  x  0.375mm;  H&E  =  20X   FOV:  F 34
  • 35. KIDNEY  © LLTECH 2011 35
  • 36. Glomerulus   Image  from  non-­‐neoplasIc  kidney  Issue   Glomerulus   Blood  vessel   3xzoom  (FOV  ~0.19x0.19  mm)   Tubules     Tubules   3x  zoom  (FOV  ~0.19x0.19  mm)     Blood  vessel  FFOCT:  FOV~  0.37x0.25  mm,  depth  of  imaging  0.1um   Caron  et  al.  Proc  SPIE  2013  © LLTECH 2011 3x  zoom  (FOV  ~0.19x0.19  mm)   36
  • 37. H&E  image  from  non-­‐neoplasIc  kidney  Glomerulus   Blood  vessel   Glomerulus  20X   Tubules   Tubules  20X   H&E  =  10X   Caron  et  al.  Proc  SPIE  2013   © LLTECH 2011 Blood  vessel  20X   37
  • 38. NeoplasIc  kidney:  normal  architecture  replaced  by  sheets  of  cells   Sheets  of  cells     Sheets  of  cells     Sheets  of  cells     FFOCT:  FOV  ~   H&E  10X  0.38x0.38  mm,  depth   of  imaging  :  7.2um   3x  zoom  (FOV~   0.19x0.19mm)   © LLTECH 2011 Chromophobe  RCC   20X   38
  • 39. RETINA    AND  CORNEA  © LLTECH 2011 39
  • 40. ReIna   Photoreceptors - pig Nerve  fiber  layer  -­‐  rat   OpIc  Nerve  -­‐  pig   Retinal pigment epithelium - pig ReIna  -­‐  rat   Grieve et al IOVS 2004 Nov;45(11):4126-31.©  LLTech  2012   © LLTECH 2011 Courtesy  of  ESPCI,  Paris,  France   40
  • 41. Human  graa  cornea:  over  500um  thickness   50  um   Ghouali  et  al,  ARVO  2013  www.lltechimaging.com © LLTECH 2011 Courtesy of Vincent Borderie 41
  • 42. Large  field  en  face  view  of  epithelial  layer   100  um   LightCT  can  evaluate   integrity  of  epithelium   and  stroma  in  graa   corneas  (not  possible   with  exisIng  techniques)   200  um  www.lltechimaging.com © LLTECH 2011 Courtesy of Vincent Borderie 42
  • 43. Large  field  en  face  view  in  stroma  200  um   ApplcaIon  of  LightCT   in  eye  banks  www.lltechimaging.com © LLTECH 2011 Courtesy of Vincent Borderie 43
  • 44. LightCT  shows  corneal  pathology  and  can  penetrate  even   edematous  cornea   Cornea  with  edemaCornea  with  chemical  burn  –  highly  sca]ering  upper  stroma   © LLTECH 2011 44
  • 45. CORE  NEEDLE  BIOPSIES  © LLTECH 2011 45
  • 46. Core  Needle  Biopsy:  Kidney   LightCT  provides  an  evaluaIon  of  Issue  architecture  in  minutes     100µm Renal  tubules   500µm 50µm Vessel  ©  LLTech  2012   © LLTECH 2011 Courtesy  of  InsItut  Curie,  Paris,  France   46
  • 47. Core  Needle  Biopsy   Breast:  InfiltraIve  carcinoma   LightCT  used  intraoperaIvely  on  biopsy  Issue  provides  fast,  non  destrucIve  evaluaIon  ©  LLTech  2012   © LLTECH 2011 Courtesy  of  InsItut  Curie,  Paris,  France   47
  • 48. DEVELOPMENTAL  BIOLOGY  © LLTECH 2011 48
  • 49. Developmental  biology:  Drosophila   200 µm© LLTech 2012 © LLTECH 2011 Courtesy of ESPCI, Paris, France 49
  • 50. In  vivo  imaging  of  drosophila  melanogaster     Four  stages  of  pupaIon  over  72  hours:  automated  Ime  series   Prepupa  (0-­‐2  h)     TransiIon  to     pupal  stage  (24  h)   Pupal  stage  (48  h)   Advanced  pupal  phase   before  eclosion  (72  h)  © LLTech 2012 © LLTECH 2011 Courtesy of ESPCI, Paris, France 50
  • 51. Pupa  118:  4  days,  30um  depth   100  um   LightCT  can  capture   automated  Ime   series  to  follow  in  vivo   development  over  a   period  of  days  Burcheri  et  al,  Proc  SPIE  2013   © LLTECH 2011 51
  • 52. Musée d’Histoire Naturelle Xenopus  Laevis   CarIlage  Pigmented  cells   OIc  vesicle   100  um   © LLTECH 2011 52
  • 53. Musée d’Histoire Naturelle Xenopus  Laevis   50  um  Reconstructed depth slices © LLTECH 2011 53
  • 54. Xenopus  Laevis  eye:  en  face  slices   Musée d’Histoire NaturelleSurface   10um  depth   20um  depth   30um  depth  40um  depth   50um  depth   60um  depth   70um  depth  80um  depth   140um  depth   230um  depth   180um  depth   200  um   © LLTECH 2011 54
  • 55. C.  elegans  –  Images  at  higher  magnificaIon:  40X   100 µm 3D  reconstrucIon   50 µm© LLTech 2012 © LLTECH 2011 Courtesy of ENS, Paris, France 55
  • 56. PLANTS  © LLTECH 2011 56
  • 57. Leaf  veins  –  fresh  leaf  sample   Veins   500 µm Fibers   100 µm 57© LLTech 2012 © LLTECH 2011 Courtesy of ESPCI, Paris, France 57
  • 58. Apple   Wax   Skin   Water   Flesh   500 µm 100 µm 58© LLTech 2012 © LLTECH 2011 Courtesy of ESPCI, Paris, France 58
  • 59. Sorghum:  cross  secIon   Courtesy of Plate-forme dHistocytologie et dImagerie Wide  field  en  face   Cellulaire Végétale (PHIV) Montpellier RIO2011 © LLTECH Imaging 14mmX15mm   59
  • 60. Sorghum  cross  secIon:  naIve  field  view   800um  x  800um     en  face  field  Reconstructed  depth  slices    500um  sample  thickness   Courtesy of Plate-forme dHistocytologie et dImagerie Cellulaire Végétale (PHIV) Montpellier RIO Imaging © LLTECH 2011 60
  • 61. Courtesy of Plate-forme dHistocytologie et dImagerie Cellulaire Végétale (PHIV) Rice:  hypocotyle   Montpellier RIO Imaging Wide  field  en  face   5mmX2mm    Reconstructed  depth  slice,  200um  pentraIon  depth   © LLTECH 2011 61
  • 62. Conclusion   •  Full-­‐field  OCT  does  not  require  Issue  preparaIon,  nor  staining  of  any  kind   •  Creates  images  within  minutes  using  a  non-­‐destrucIve  process   •  Offers  a  1  µm  cellular  resoluIon  in  3D   •  Reveals  structural  and  cellular  informaIon  of  normal  and  pathological  Issue   •  Mosaicing  allows  fast  visualisaIon  at  various  scales   •  En-­‐face  high-­‐resoluIon  imaging  allows  verIcal  and  3D  reconstrucIon   •  Possible  applicaIons  for  biobanking,  cancer  detecIon,  digital  pathology…    www.lltechimaging.com © LLTECH 2011 62
  • 63. LLTech   LLTech,  Inc.   LLTech   103  Carnegie  Center  Drive   Pépinière  Paris  Santé  Cochin   Suite  300   29  rue  du  Faubourg  Saint  Jacques   Princeton,  NJ  08540,  USA   75014  Paris         Phone:  +1  609  995  3506   Phone:  +33  1  82  72  61  25   www.lltechimaging.com     contact@lltech.fr  www.lltechimaging.com   © LLTECH 2011 63

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