Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-25T14:19:49.109Z Has data issue: false hasContentIssue false

Tracking Microscope Performance: A Workflow to Compare Point Spread Function Evaluations Over Time

Published online by Cambridge University Press:  06 February 2019

Anna H. Klemm*
Affiliation:
Core Facility Bioimaging at the Biomedical Center and Walter-Brendel-Zentrum für Experimentelle Medizin, Ludwig-Maximilians-Univeristät München, Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
Andreas W. Thomae
Affiliation:
Core Facility Bioimaging at the Biomedical Center and Walter-Brendel-Zentrum für Experimentelle Medizin, Ludwig-Maximilians-Univeristät München, Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
Katarina Wachal
Affiliation:
Core Facility Bioimaging at the Biomedical Center and Walter-Brendel-Zentrum für Experimentelle Medizin, Ludwig-Maximilians-Univeristät München, Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
Steffen Dietzel*
Affiliation:
Core Facility Bioimaging at the Biomedical Center and Walter-Brendel-Zentrum für Experimentelle Medizin, Ludwig-Maximilians-Univeristät München, Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
*
*Author for correspondence: Steffen Dietzel, E-mail: [email protected]; Anna H. Klemm, E-mail: [email protected]
*Author for correspondence: Steffen Dietzel, E-mail: [email protected]; Anna H. Klemm, E-mail: [email protected]
Get access

Abstract

Routine system checks are essential for supervising the performance of an advanced light microscope. Recording and evaluating the point spread function (PSF) of a given system provides information about the resolution and imaging. We compared the performance of fluorescent and gold beads for PSF recordings. We then combined the open-source evaluation software PSFj with a newly developed KNIME pipeline named PSFtracker to create a standardized workflow to track a system's performance over several measurements and thus over long time periods. PSFtracker produces example images of recorded PSFs, plots full-width-half-maximum (FWHM) measurements over time and creates an html file which embeds the images and plots, together with a table of results. Changes of the PSF over time are thus easily spotted, either in FWHM plots or in the time series of bead images which allows recognition of aberrations in the shape of the PSF. The html file, viewed in a local browser or uploaded on the web, therefore provides intuitive visualization of the state of the PSF over time. In addition, uploading of the html file on the web allows other microscopists to compare such data with their own.

Type
Software and Instrumentation
Copyright
Copyright © Microscopy Society of America 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Current address: Anna Klemm, Department of Information Technology, Division of Visual Information and Interaction and Science for Life Laboratory, Uppsala University, Sweden. [email protected], Postal address: Box 337, 751 05 UPPSALA. Phone: +46/18-471 2868

References

Amos, B, McConnell, G & Wilson, T (2012). Confocal microscopy. In Handbook of Comprehensive Biophysics, Vol. 2, Egelman, EH, ed., pp. 323. Amsterdam: Elsevier.Google Scholar
Cox, G (2012). Optical Imaging Techniques in Cell Biology. Boca Raton, FL: CRC Press, Taylor & Francis Group.Google Scholar
Cox, G & Sheppard, CJ (2004). Practical limits of resolution in confocal and non-linear microscopy. Microsc Res Tech 63, 1822.Google Scholar
Egner, A & Hell, SW (2006). Aberrations in confocal and multi-photon fluorescence microscopy induced by refractive index mismatch. In Handbook of Biological Confocal Microscopy, Pawley, JB (Ed.), pp. 404413. New York, NY: Springer Science and Business Media.Google Scholar
Hell, S, Reiner, G, Cremer, C & Stelzer, EHK (1993). Aberrations in confocal fluorescence microscopy induced by mismatches in refractive index. J Microsc 169, 391405.Google Scholar
Hibbs, AR, MacDonald, G & Garsha, K (2006). Practical confocal microscopy. In Handbook of Biological Confocal Microscopy, Pawley, JB (Ed.), pp. 650671. New York, NY: Springer Science and Business Media.Google Scholar
Hng, KI & Dormann, D (2013). ConfocalCheck – a software tool for the automated monitoring of confocal microscope performance. PLoS ONE 8, e79879.Google Scholar
Juškaitis, R (2006). Measuring the real point spread function of high numerical aperture microscope objective lenses. In Handbook of Biological Confocal Microscopy, Pawley, JB (Ed.), pp. 239250. New York, NY: Springer Science and Business Media.Google Scholar
Keller, HE (2006). Objective lenses for confocal microscopy. In Handbook of Biological Confocal Microscopy, Pawley, JB (Ed.), pp. 145161. New York, NY: Springer Science and Business Media.Google Scholar
Matthews, C & Cordelières, FP (2010). MetroloJ: an ImageJ plugin to help monitor microscopes’ health. In ImageJ User & Developer Conference. http://imagejdocu.tudor.lu/doku.php?id=plugin:analysis:metroloj:startGoogle Scholar
Pawley, JB (2006). Points, pixels & gray levels: Digitizing image data. In Handbook of Biological Confocal Microscopy, Pawley, JB (Ed.), pp. 5979. New York, NY: Springer Science and Business Media.Google Scholar
Schrader, M, Hell, SW & Voort, HTMVD (1996). Potential of confocal microscopes to resolve in the 50–100 nm range. Appl Phys Lett 69, 36443646.Google Scholar
Scientific Volume Imaging, S. (2018). The Nyquist rate. Vol. 2018. https://svi.nl/NyquistRateGoogle Scholar
Sheppard, CJR & Shotton, DM (1997). Confocal Laser Scanning Microscopy. Bios Scientific Publishers in association with the Royal Microscopical Society. 106 pp. Oxford, UK. ISBN: 1-872748-72-4.Google Scholar
Theer, P, C., Mongis & M., Knop (2014). PSFj: Know your fluorescence microscope. Nat Methods 11, 981982.Google Scholar
Wilson, T (2011). Resolution and optical sectioning in the confocal microscope. J Microsc 244, 113121.Google Scholar
Zucker, RM (2014). Evaluating confocal system performance. In Confocal Microscopy: Methods and Protocols, Paddock, SW (Ed.), pp. 321374. New York, NY: Springer Science and Business Media.Google Scholar
Supplementary material: File

Klemm et al. supplementary material

Klemm et al. supplementary material 1

Download Klemm et al. supplementary material(File)
File 74.4 MB
Supplementary material: File

Klemm et al. supplementary material

Klemm et al. supplementary material 2

Download Klemm et al. supplementary material(File)
File 81.6 MB