New 3D Imaging Method for Microscopes

Image Sensors World        Go to the original article...

New method for high resolution three dimension microscopic imaging being explored.


"This method, named bijective illumination collection imaging (BICI), can extend the range of high-resolution imaging by over 12-fold compared to the state-of-the-art imaging techniques," says Pahlevani

Fig. 1 | BICI concept. 
a, The illumination beam is generated by collimated light positioned off the imaging optical axis. 
b, The metasurface bends a ray family (sheet) originating from an arc of radius r by a constant angle β to form a focal point on the z axis. A family of rays originating from the same arc is shown as a ray sheet. 
c, Ray sheets subject to the same bending model constitute a focal line along the z axis. The focal line is continuous even though a finite number of focal points is illustrated for clarity. 
d, The collection metasurface establishes trajectories of collected light in ray sheets, as mirror images of illumination paths with respect to the x–z plane. This configuration enables a one-to-one correspondence, that is, a bijective relation between the focal points of the illumination and collection paths, to eliminate out-of-focus signals. The magnified inset demonstrates the bijective relation. 
e, Top view of the illumination and collection beams. 
f, Schematic of the illumination and collection beams and a snapshot captured using a camera from one of the lateral planes intersecting the focal line, illustrating the actual arrangement of illumination and collection paths. This arrangement allows only the collection of photons originating from the corresponding illumination focal point.


Metasurface-based bijective illumination collection imaging provides high-resolution tomography in three dimensions (Masoud Pahlevaninezhad, Yao-Wei Huang , Majid Pahlevani , Brett Bouma, Melissa J. Suter , Federico Capasso  and Hamid Pahlevaninezhad )

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Future Era of Robotics and Metaverse

Image Sensors World        Go to the original article...

SK hynix discusses what a robotic future may look like and the role of ToF imaging.

"We will soon witness an era where all households will have at least one robot that looks like it appeared in the scenes of a sci-fi movie like Star Wars."

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Image Sensors Europe – Event Agenda Announcement

Image Sensors World        Go to the original article...

The Image Sensor  Europe team announced details about the upcoming event.

 2022 Event Topics Include (agenda link):

    Topic Speaker
    IMAGE SENSOR MANUFACTURING TRENDS AND BUSINESS UPDATES Markus Cappellaro
    Emerging from the global semiconductor shortage, what is the near-term outlook of the CIS industry? Florian Domengie
    Sony's contribution to the smarter industry - technology trends and future prospects for imaging and sensing devices Amos Fenigstein Ph.D.
    Panel discussion: how is the IS supply chain responding to sustainability and the green agenda?
    TECHNOLOGY FUTURES – LOOKING OUTSIDE THE BOX Anders Johannesson
    Efficiently detecting photon energy. The spin out from astronomy to industry has been paradigm shifting in the past – will this happen again? Kieran O'Brien
    Angular dependency of light sensitivity and parasitic light sensitivity Albert Theuwissen
    Augmented reality – the next frontier of image sensors and compute systems Dr Chiao Liu
    Sensing solutions for in cabin monitoring Tomas Geurts
    Global shutter sensors with single-exposure high dynamic range Dr. Guang Yang
    High resolution 4K HDR image sensors for security, VR/AR, automotive, and other emerging applications David Mills
    Bringing colour night vision and HDR image sensors to consumers and professionals Dr Saleh Masoodian
    Spectral sensing for mobile devices Jonathan Borremans
    Making infrared imaging more accessible with quantum dots Jiwon Lee
    Release 4 of the EMVA 1288 standard: adapted and extended to modern image sensors Prof. Dr. Bernd Jähne
    Design, characterisation and application of indirect time-of-flight sensor for machine vision Dr. Xinyang Wang
    Addressing the challenges in sustainability and security with low-power depth sensing Dr Sara Pellegrini, Cedric Tubert
    Establishing LiDAR standards for safe level 3 automated driving Oren Buskila
    Modelling and realisation of a SPAD-based LIDAR image sensor for space applications Alessandro Tontini
    Low-power Always-on Camera (AoC) architecture with AP-centric clock and 2-way communications Soo-Yong Kim
    Resolution of cinesensors: why higher resolution does not always improve image quality Michael Cieslinsk
    Latest developments in high-speed imaging for industrial and scientific applications Jeroen Hoet
    Event-based sensors – from promise to products Luca Verre
    Development of OPD innovative application, such as fingerprint behind display or standalone biometry solutions Camille Dupoiron
    Medical applications roundtable Renato Turchetta



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Optimizing Machine Vision Lenses For Different Wavelengths

Image Sensors World        Go to the original article...

 Quality Magazine publishes an article covering consideration when Optimizing Machine Vision Lenses For Different Wavelengths.

"Lenses play a crucial role in the quality of the images produced by a machine vision system since they determine the sharpness of the image on the camera sensor. Lenses can influence image quality in a variety of ways:
  • Reduced light transmission due to lens surface reflections
  • Spherical, chromatic and defect aberrations preventing all rays of light from a single point on the object being focused to a single point on the image
  • Reduced light intensity towards the edge of the image
  • Spatial distortion of the image

By choosing the appropriate lens construction, all of these effects can be minimized. This article highlights some of the considerations when selecting a lens for your particular needs."


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