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CATEGORIES:College of Engineering
DESCRIPTION:Topic: “Microscopy without lenses: Rethinking illumination, c
 omputation, and polarization DLHM”  Abstract: Lensless microscopy trade
 s the objective lens for computation. In digital lensless holographic micr
 oscopy (DLHM), a point source, sample, and digital camera are sufficient t
 o record a hologram from which amplitude and phase information can be nume
 rically retrieved, enabling compact and low-cost microscopy systems. Howev
 er, achieving reliable quantitative imaging requires careful development o
 f both the optical hardware and computational methods. In this talk, I wil
 l review our advances in DLHM from both perspectives. On the hardware side
 , I will discuss the evolution of illumination from conventional pinhole-b
 ased systems to holographic optical elements and high-numerical-aperture f
 reeform illumination, highlighting the tradeoffs among resolution, field o
 f view, noise, and coherence. I will also present polarization-sensitive a
 pproaches, including diattenuation and Mueller-matrix imaging, as well as 
 portable systems designed for field applications. On the computational sid
 e, I will discuss reconstruction, preprocessing, simulation, noise reducti
 on, and methods for improving image quality. I will also show how deep lea
 rning can reduce computational requirements by detecting cells directly fr
 om raw holograms and automatically estimating their focusing distance. Fin
 ally, I will introduce recent lensless architectures combining off-axis in
 terferometry and polarization sensitivity. Together, these developments de
 monstrate the potential of DLHM as a compact, quantitative, and polarizati
 on-aware imaging platform for laboratory and field applications.  Biograp
 hy: Carlos Trujillo is a Full Professor at Universidad EAFIT (Medellín, C
 olombia) in the Fundamental Sciences area. He is affiliated with the Optic
 s and Photonics Laboratory, and heads the Master's program in Applied Phys
 ics. He received his Ph.D. in Physics (2018, Summa Cum Laude), M.Sc. in Co
 mputational Sciences (2013, Magna Cum Laude), and B.Sc. in Engineering Phy
 sics (2010, top of his class), all from Universidad Nacional de Colombia, 
 Medellín. His research focuses on digital holographic and lensless hologr
 aphic microscopy. It combines optical design, computational imaging, polar
 imetry, and deep learning to develop accessible, quantitative microscopes.
    The Seminars is open to the public free of charge.  *For further info
 rmation, please contact Dr. Ana Doblas via email at adoblas@umassd.edu.\nE
 vent page: https://www.umassd.edu/events/cms/10-23-26-carlos-trujillo-prof
 essor-eafit-university-colombia.php\nEvent link: https://umassd.zoom.us/j/
 91838904870
X-ALT-DESC;FMTTYPE=text/html:<html><body><p>Topic: “Microscopy without le
 nses: Rethinking illumination\, computation\, and polarization DLHM” </
 p>\n<p>Abstract: Lensless microscopy trades the objective lens for computa
 tion. In digital lensless holographic microscopy (DLHM)\, a point source\,
  sample\, and digital camera are sufficient to record a hologram from whic
 h amplitude and phase information can be numerically retrieved\, enabling 
 compact and low-cost microscopy systems. However\, achieving reliable quan
 titative imaging requires careful development of both the optical hardware
  and computational methods. In this talk\, I will review our advances in D
 LHM from both perspectives. On the hardware side\, I will discuss the evol
 ution of illumination from conventional pinhole-based systems to holograph
 ic optical elements and high-numerical-aperture freeform illumination\, hi
 ghlighting the tradeoffs among resolution\, field of view\, noise\, and co
 herence. I will also present polarization-sensitive approaches\, including
  diattenuation and Mueller-matrix imaging\, as well as portable systems de
 signed for field applications. On the computational side\, I will discuss 
 reconstruction\, preprocessing\, simulation\, noise reduction\, and method
 s for improving image quality. I will also show how deep learning can redu
 ce computational requirements by detecting cells directly from raw hologra
 ms and automatically estimating their focusing distance. Finally\, I will 
 introduce recent lensless architectures combining off-axis interferometry 
 and polarization sensitivity. Together\, these developments demonstrate th
 e potential of DLHM as a compact\, quantitative\, and polarization-aware i
 maging platform for laboratory and field applications. </p>\n<p>Biography
 : Carlos Trujillo is a Full Professor at Universidad EAFIT (Medellín\, Co
 lombia) in the Fundamental Sciences area. He is affiliated with the Optics
  and Photonics Laboratory\, and heads the Master's program in Applied Phys
 ics. He received his Ph.D. in Physics (2018\, Summa Cum Laude)\, M.Sc. in 
 Computational Sciences (2013\, Magna Cum Laude)\, and B.Sc. in Engineering
  Physics (2010\, top of his class)\, all from Universidad Nacional de Colo
 mbia\, Medellín. His research focuses on digital holographic and lensless
  holographic microscopy. It combines optical design\, computational imagin
 g\, polarimetry\, and deep learning to develop accessible\, quantitative m
 icroscopes.  </p>\n<p>The Seminars is open to the public free of charge.
  </p>\n<p>*For further information\, please contact Dr. Ana Doblas via em
 ail at adoblas@umassd.edu.</p><p>Event page: <a href="https://www.umassd.e
 du/events/cms/10-23-26-carlos-trujillo-professor-eafit-university-colombia
 .php">https://www.umassd.edu/events/cms/10-23-26-carlos-trujillo-professor
 -eafit-university-colombia.php</a><br>Event link: <a href="https://umassd.
 zoom.us/j/91838904870">https://umassd.zoom.us/j/91838904870</a></p></body>
 </html>
DTSTAMP:20261006T214407
DTSTART;TZID=America/New_York:20261023T110000
DTEND;TZID=America/New_York:20261023T120000
LOCATION:Science &amp; Engineering Building (SENG), Room 212
SUMMARY;LANGUAGE=en-us:Microscopy without lenses: Rethinking illumination, 
 computation, and polarization DLHM
UID:023a2dd6282649a808c377f1c878e19a@www.umassd.edu
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