#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

One-shot phase-recovery using a cellphone RGB camera on a Jamin-Lebedeff microscope


Autoři: Benedict Diederich aff001;  Barbora Marsikova aff001;  Brad Amos aff003;  Rainer Heintzmann aff001
Působiště autorů: Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany aff001;  Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07745 Jena, Germany aff002;  Medical Research Council, MRC, Laboratory of Molecular Biology, Cambridge, United Kingdom aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0227096

Souhrn

Jamin-Lebedeff (JL) polarization interference microscopy is a classical method for determining the change in the optical path of transparent tissues. Whilst a differential interference contrast (DIC) microscopy interferes an image with itself shifted by half a point spread function, the shear between the object and reference image in a JL-microscope is about half the field of view. The optical path difference (OPD) between the sample and reference region (assumed to be empty) is encoded into a color by white-light interference. From a color-table, the Michel-Levy chart, the OPD can be deduced. In cytology JL-imaging can be used as a way to determine the OPD which closely corresponds to the dry mass per area of cells in a single image. Like in other interference microscopy methods (e.g. holography), we present a phase retrieval method relying on single-shot measurements only, thus allowing real-time quantitative phase measurements. This is achieved by adding several customized 3D-printed parts (e.g. rotational polarization-filter holders) and a modern cellphone with an RGB-camera to the Jamin-Lebedeff setup, thus bringing an old microscope back to life. The algorithm is calibrated using a reference image of a known phase object (e.g. optical fiber). A gradient-descent based inverse problem generates an inverse look-up-table (LUT) which is used to convert the measured RGB signal of a phase-sample into an OPD. To account for possible ambiguities in the phase-map or phase-unwrapping artifacts we introduce a total-variation based regularization. We present results from fixed and living biological samples as well as reference samples for comparison.

Klíčová slova:

3D printing – Algorithms – Cameras – Light – Optical lenses – Polarized light microscopy – Wave interference – Interference microscopy


Zdroje

1. Bouchal P, Štrbková L, Dostál Z, Chmelík R, Bouchal Z. Geometric-Phase Microscopy for Quantitative Phase Imaging of Isotropic, Birefringent and Space-Variant Polarization Samples. Scientific Reports. 2019;9(1):3608. doi: 10.1038/s41598-019-40441-9 30837653

2. Conlon IJ, Dunn GA, Mudge AW, Raff MC. Extracellular control of cell size. Nat Cell Biol. 2001;3(10):918–921. doi: 10.1038/ncb1001-918 11584274

3. Abbe E. Beiträge zur Theorie des Mikroskops und der mikroskopischen Wahrnehmung. Archiv für mikroskopische Anatomie. 1873;9(1):413–418. doi: 10.1007/BF02956173

4. Siedentopf H, Zsigmondy R. Uber Sichtbarmachung und Größenbestimmung ultramikoskopischer Teilchen, mit besonderer Anwendung auf Goldrubingläser. Annalen der Physik. 1903;315(1):1–39. doi: 10.1002/andp.19023150102

5. Zernike F. Phase contrast, a new method for the microscopic observation of transparent objects part II. Physica. 1942;9(10):974–986. doi: 10.1016/S0031-8914(42)80079-8

6. Cogswell CJ, Libertun A, Preza C, Piestun R, King SV. Quantitative phase microscopy through differential interference imaging. Journal of Biomedical Optics. 2008. doi: 10.1117/1.2907328 18465983

7. Shribak M, Inoué S. Orientation-independent differential interference contrast microscopy. In: Microscopy and Microanalysis; 2006. doi: 10.1017/S1431927606063434

8. ZICHA D, DUNN GA. An image processing system for cell behaviour studies in subconfluent cultures. Journal of Microscopy. 1995;179(1):11–21. doi: 10.1111/j.1365-2818.1995.tb03609.x

9. Rodenburg JM. Ptychography and related diffractive imaging methods; 2008.

10. Li J, Chen Q, Zhang J, Zhang Y, Lu L, Zuo C. Highly efficient quantitative phase microscopy using programmable annular LED illumination.

11. Horstmeyer R, Yang C. A phase space model of Fourier ptychographic microscopy. Optics Express. 2014;22(1):338. doi: 10.1364/OE.22.000338 24514995

12. Collakova J, Krizova A, Kollarova V, Dostal Z, Slaba M, Vesely P, et al. Coherence-controlled holographic microscopy enabled recognition of necrosis as the mechanism of cancer cells death after exposure to cytopathic turbid emulsion. Journal of Biomedical Optics. 2015;20(11):111213. doi: 10.1117/1.JBO.20.11.111213

13. Slabý T, Kolman P, Dostál Z, Antoš M, Lošťák M, Chmelík R. Off-axis setup taking full advantage of incoherent illumination in coherence-controlled holographic microscope. Optics Express. 2013;21(12):14747. doi: 10.1364/OE.21.014747 23787662

14. Bon P, Aknoun S, Monneret S, Wattellier B. Enhanced 3D spatial resolution in quantitative phase microscopy using spatially incoherent illumination. Optics Express. 2014;22(7):8654. doi: 10.1364/OE.22.008654 24718236

15. Chanteloup JC. Multiple-wave lateral shearing interferometry for wave-front sensing. Applied Optics. 2005. doi: 10.1364/ao.44.001559 15818859

16. Popescu G, Ikeda T, Dasari RR, Feld MS. Diffraction phase microscopy for quantifying cell structure and dynamics. Optics letters. 2006;31(6):775–7. doi: 10.1364/ol.31.000775 16544620

17. Heintzmann R, Gustafsson MGL. Subdiffraction resolution in continuous samples. Nature Photonics. 2009;3(7):362–364. doi: 10.1038/nphoton.2009.102

18. van de Linde S, Löschberger A, Klein T, Heidbreder M, Wolter S, Heilemann M, et al. Direct stochastic optical reconstruction microscopy with standard fluorescent probes. Nature protocols. 2011;6(7):991–1009. doi: 10.1038/nprot.2011.336 21720313

19. Hell SW, Wichmann J. Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy. Optics Letters. 1994;19(11):780. doi: 10.1364/ol.19.000780 19844443

20. Jensen EC. Use of Fluorescent Probes: Their Effect on Cell Biology and Limitations; 2012.

21. Stavenga DG, Leertouwer HL, Wilts BD. Quantifying the refractive index dispersion of a pigmented biological tissue using Jamin-Lebedeff interference microscopy. Light: Science and Applications. 2013;2(SEPTEMBER).

22. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. 2016.

23. Wilts BDBD. Brilliant biophotonics: physical properties, pigmentary tuning & biological implications. s.n.; 2013. Available from: https://www.rug.nl/research/portal/en/publications/brilliant-biophotonics(e5c911ea-79ae-4d90-9b42-25136a2f53c8).html.

24. Seckbach JJ, Kociolek JP. The diatom world. Springer Science + Business Media; 2011.

25. Cherry RJ. New techniques of optical microscopy and microspectroscopy. CRC Press; 1991. Available from: https://www.crcpress.com/New-Techniques-of-Optical-Microscopy-and-Microspectroscopy/Cherry/p/book/9780849371172.

26. Diederich B, Marsikova B, Heintzmann R. Github Repository Jamin Lebedeff Code; 2019. Available from: https://github.com/beniroquai/Tensorflow_Jamin-Lebedeff.

27. Brown AF, Dunn GA. Microinterferometry of the movement of dry matter in fibroblasts. J Cell Sci. 1989.

28. Diekmann R, Till K, Müller M, Simonis M, Schüttpelz M, Huser T. Characterization of an industry -⁠ grade CMOS camera well suited for single molecule localization microscopy—high performance super-resolution at low cost. Scientific Reports. 2017;7(1):14425. doi: 10.1038/s41598-017-14762-6 29089524

29. Diederich B, Then P, Jügler A, Förster R, Heintzmann R. cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM. PLOS ONE. 2019;14(1):e0209827. doi: 10.1371/journal.pone.0209827 30625170

30. Fuchs I. Github: FreedCam; 2018. Available from: https://github.com/KillerInk/FreeDcam.

31. Kamilov US, Mansour H, Wohlberg B. A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems. IEEE Signal Processing Letters. 2017;24(12):1872–1876. doi: 10.1109/LSP.2017.2763583

32. Rudin LI, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms*; 1992. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.117.1675&rep=rep1&type=pdf.

33. Tian L, Waller L. Quantitative differential phase contrast imaging in an LED array microscope. Optics Express. 2015;23(9):11394. doi: 10.1364/OE.23.011394 25969234

34. Horstmeyer R, Yang C. Diffraction tomography with Fourier ptychography. 2015;3(8).

35. Isola P, Zhu JY, Zhou T, Efros AA. Image-to-Image Translation with Conditional Adversarial Networks. 2016.

36. Kingma, Diederik P. and Ba, Jimmy L. Adam: A Method for Stochastic Optimization. 2014.

37. Diederich B, Marsikova B, Heintzmann R. Github Repository Jamin Lebedeff Code for ImJoy; 2019. Available from: https://github.com/bionanoimaging/UC2-ImJoy-Plugins.

38. Ouyang W, Mueller F, Hjelmare M, Lundberg E, Zimmer C. ImJoy: an open-source computational platform for the deep learning era. 1. May 2019. http://arxiv.org/abs/1905.13105. Accessed August 25, 2019.

39. FFmpeg Developers. (2016). ffmpeg tool (Version be1d324) [Software] Available from http://ffmpeg.org/


Článek vyšel v časopise

PLOS One


2019 Číslo 12
Nejčtenější tento týden
Nejčtenější v tomto čísle
Kurzy

Zvyšte si kvalifikaci online z pohodlí domova

Mepolizumab v reálné klinické praxi kurz
Mepolizumab v reálné klinické praxi
nový kurz
Autoři: MUDr. Eva Voláková, Ph.D.

BONE ACADEMY 2025
Autoři: prof. MUDr. Pavel Horák, CSc., doc. MUDr. Ludmila Brunerová, Ph.D., doc. MUDr. Václav Vyskočil, Ph.D., prim. MUDr. Richard Pikner, Ph.D., MUDr. Olga Růžičková, MUDr. Jan Rosa, prof. MUDr. Vladimír Palička, CSc., Dr.h.c.

Cesta pacienta nejen s SMA do nervosvalového centra
Autoři: MUDr. Jana Junkerová, MUDr. Lenka Juříková

Svět praktické medicíny 2/2025 (znalostní test z časopisu)

Eozinofilní zánět a remodelace
Autoři: MUDr. Lucie Heribanová

Všechny kurzy
Kurzy Podcasty Doporučená témata Časopisy
Přihlášení
Zapomenuté heslo

Zadejte e-mailovou adresu, se kterou jste vytvářel(a) účet, budou Vám na ni zaslány informace k nastavení nového hesla.

Přihlášení

Nemáte účet?  Registrujte se

#ADS_BOTTOM_SCRIPTS#