IN FOCUS: Cutting Through the Fog: Reducing Background Autofluorescence in Microscopy.

Autofluorescent bone sample

Above: Autofluorescence from mixed connective tissues imaged by confocal microscopy (left). The autofluorescent emissions can be spectrally-resolved through wavelength scanning (right). Excitation at 488nm.

Whilst autofluorescence from endogenous fluorophores can reveal much about the biochemical composition of a sample, it can also hamper the microscopic detection of targeted fluorochromes if they emit light at the same wavelengths as endogenous fluors. Indeed, without proper controls, complex background autofluorescence can lead to misinterpretation of image data and generation of false positive results.

Autofluorescence derives from multiple sources within the sample – the main culprits are  NADH and NADPH, lipofuscins, flavins, elastin and collagen (and lignin and chlorophyll in plants). The excitation and emission ranges of the worst offenders have been shown below. It follows that tissues with high collagen and elastin contents, e.g. skin, tendon and cartilage, autofluoresce very brightly; as do tissues that are rich in metabolic breakdown products such as lipofuscin, e.g. liver, spleen etc.

Autofluorescent data

Adding to the problem is the effect of chemical fixatives (e.g. formalin, glutaraldehyde etc) and solvents used to preserve tissue architecture for microscopy: the cross-linkages generated by these chemicals increase autofluorescence, which can be worsened further by long-term storage of the fixed processed tissues.

So, dear reader, here’s some simple advice on steps that you can take to address this common problem:

1. Include an unlabelled control to evaluate the level of autofluorescence within your sample.

  • Observation of unlabelled samples through RGB fluorescent filters (note their transmission characteristics) will help identify where in the visible spectrum the autofluorescent signal is brightest.
  • Spectral (lambda, wavelength) scanning will allow you to precisely identify the fluorescent emission spectra from endogenous fluorochromes and can help separate their emissions from those of your fluorochrome (see above figure).

2. Select fluorochromes that are outside the range of the autofluorescence.

  • If the autofluorescence signal is high in the blue, then move into the green; if it’s high in the green, move into the red – or better still, the far red (if your system can detect in this range).
  • Use modern fluorescent probes (e.g. Alexa Fluor, Dylight, or Atto range) instead of first generation fluorochromes.  They are brighter, more photo-stable and have narrower excitation and emission bands. They are also available in variants that span the near UV, visible and far red range of the spectrum, affording you plenty of choice.

3. Use a microscope with filters optimised for your choice of fluorochromes.

  • Band-pass filters which collect emissions within a specific range may be more useful than long-pass filter sets which collect all emissions past a certain wavelength. The narrower the range of the band-pass filter, then the better it can separate fluorophores with close emission spectra.

4. If the autofluorescence is unevenly distributed within your sample, use targeted microscopy to avoid it.

5. If you can’t avoid the autofluorescence, then take measures to remove or reduce it.

  • Analyse the pixel intensity distribution within your image and try thresholding out the lower intensity autofluorescence signal.
  • Pre-bleach your samples in a light box using a high intensity illumination source prior to fluorescent labelling (see below reference)
  • Treat samples with a chemical reagent (e.g. sodium borohydride, Sudan black B, ammonium ethanol etc) to reduce background autofluorescence (see below reference)

6. If all else fails, consider the following:

  • use cryoprocessed material as an alternative to chemical fixation and paraffin wax processing.
  • avoid long term storage of material/archival tissue samples.
  • try a different detection modality (e.g. immunoperoxidase instead of immunofluorescence)

AJH

Further reading

Wright Cell Imaging Facility. Autofluorescence: Causes and Cures

 

IN-FOCUS: Better To Burn Bright Than To Fade Away: Reducing Photo-bleaching in Fluorescence Microscopy.

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Above: Photo-bleaching (fading) occurs when a fluorochrome permanently loses the ability to fluoresce due to photon-induced chemical damage and covalent modification. 


Hands up if you’ve spent hours preparing a sample for fluorescence microscopy only to see the signal disappear before your eyes upon excitation? Frustrating eh (unless, of course, FRAP is your objective)? Well here’s some simple and sound advice on how you can minimise photo-bleaching and get the best out of your samples under the fluorescence microscope.

1. Visualise your samples immediately after fluorescent labelling – this is when they are at their brightest.

  • If this is not possible then loosely wrap your samples in aluminium foil and keep them in the dark at 4oC until you get the opportunity to image them.

2. Minimise their exposure to light in order to reduce photo-bleaching.

  • visualise your samples under low light conditions.
  • use transmitted light to find a region of interest (ROI) and then switch to epifluorescence observation – avoid dwelling too long on the ROI.
  • step down the intensity level of excitation light or insert a neutral density filter into the light path.
  • set up imaging parameters on a neighbouring region and then return to the ROI for image capture.
  • use image binning to reduce exposure time.
  • use the microscope shutter to switch off the light source between images.
  • create a photo-bleach curve from a timed series of images. This can be used to normalise for loss of fluorescence intensity.

3. Switch to a mounting medium with anti-fade protection e.g. Vectashield, Prolong Gold/Diamond, SlowFade Gold/Diamond. These work by reducing the oxygen available for photo-oxidation reactions, thus reducing photo-bleaching. N.B. Many of these are available with a nuclear counterstain (e.g. Dapi) included in the formulation. Alternatively, make your own anti-fade reagent (instructions below).

4. Switch to brighter, more photo-stable fluorochromes. First generation fluorochromes such as FITC and TRITC photo-bleach readily (and are pH sensitive) thus should be replaced with modern dyes such as the Alexa Fluor, Dylight, or Atto  range of fluorochromes, which are much brighter and far more photo-stable.

Good luck!

AJH

 

Further reading

IN-FOCUS: Development of a 3D Printed Pollen Reference Collection.

pollen montage 1
pollen montage 2

Above: surface-rendered confocal reconstructions of pollen samples (left) and their corresponding 3D printed models (right).

Isn’t the World Wide Web a wonderful thing? Not so long ago I wrote a short blog explaining how we had developed methodology to convert volume datasets from the confocal microscope into 3D printed models – perfect solid scale replicas of samples the size of a pollen grain etc. Well, shortly afterwards I received an email from someone who had not only read the blog but, serendipitously, wanted to do this very thing! What is more, she was located not a million miles away: in fact, little more than 400 yards down the road from us, working as a researcher within Cardiff University’s School of History, Archeology & Religion. Please excuse the pun, but it really is a small world!

Rhiannon Philp is an archaeologist – or palynologist to be precise – someone who studies ancient pollen grains and spores found at archaeological sites. Pollen extracted from archeological digs can be used for radiocarbon dating and for studying past climates and environments by identifying plants growing at the time. Rhiannon is using this information to develop an understanding of prehistoric sea level changes in South Wales as part of the Changing Tides Project.

Rhiannon asked if we could generate a reference collection of 3D pollen prints that could be used for teaching and outreach activities as part of a new Archaeology engagement project called Footprints In Time. Indeed, some of her pollen samples were from sites containing both human and animal footprints made over 5000 years ago!

You can see some of our results above: on the left are the surface-rendered confocal volume reconstructions and, on the right, their corresponding 3D printed facsimiles – courtesy of the BIOSI 3D printing facility.

If you’re at the National Eisteddfod in Abergavenny this week (29th July – 6th August), then please pop by to see Rhiannon’s stall within the Cardiff University tent – all of the models will be on display there, together with a lot more.  Any further interest, then please get in touch.

AJH

 Further reading:

IN-FOCUS: Bigging It Up: 3D Printing to Change the Shape of Microscopy.

3d pollen

Virtual to reality: a surface-rendered digital image of a single pollen grain generated by confocal microscopy (left) is 3D printed into a 2000x scale replica model (centre & right).

Imagine being able to generate a highly accurate, solid scale replica of the sample that you are visualising down the microscope; a perfectly-rendered pollen grain, or blood cell, or microscopic organism, but big enough to hold and examine in your hand.  It would allow much better 3D conceptualisation of the sample, particularly for blind or visually-impaired individuals, and would have enormous utility in teaching and in engagement activities, and what researcher wouldn’t want a tangible, physical embodiment of their research to help explain their work (and impress their colleagues) at scientific meetings? Sounds like the stuff of science fiction doesn’t it? Well, not any more. Thanks to 3D printing technology (and the help of Dr Simon Scofield‘s lab) we have started taking volume datasets from the confocal microscope out of the virtual world and making them a reality. If you would be interested in generating a highly accurate scale model of your favourite biological sample (or would simply like to handle a giant pollen grain!) then please feel free to get in touch.

AJH

 Further reading:

IN-FOCUS: Microscopy on the move. A round-up of the best microscopy apps for mobile devices.

mobile microscope

Here’s a quick round up of some useful imaging applications for portable Android and Apple devices.

  • Molecular Probes 3D Cell App. Learn about the cell and all its structures in 3D on Apple portable devices. Enjoy the ability to rotate the cell 360 degrees and zoom in on any cell structure.

If you wish to use your smartphone camera as a rudimentary digital magnifier just search ‘microscope’ in either the Google Play or iTunes App stores – there’s loads to choose from. Instructions available here showing how to build a perspex support stage with transmitted light illumination for your smartphone. If you want anything more sophisticated, take a look at this.

AJH

IN-FOCUS: Microscopy and Analysis Journal: A Useful Resource for Microscopists.

I can see why Microscopy and Analysis is the leading international journal for microscopists – it’s  chock-full of interesting articles, features and news on all things related to microscopy and imaging. More to the point, it’s free to individuals who purchase, specify or approve microscopical, analytical and or/imaging equipment at their place of work. The journal is published six times per year, in January, March, May, July, September, and November. There are also several supplements published periodically, which include publications devoted to special events, trade shows and specific areas of microscopy and imaging. The journal is available in print,  or can be viewed online in an interactive format, or via a downloadable app. We also have lots and lots of back issues available within the Bioimaging Unit, which you are welcome to peruse on your next visit!

AJH

CORE EQUIPMENT: PicoQuant FLIM upgrade for the Zeiss LSM880 Airyscan Confocal Microscope.

FLIM demo

Image: Dr Pete Watson (left) gets to grips with the new Picoquant FLIM module. Dr Volker Buschmann of PicoQuant (right) provides expert advice.

Our new Zeiss LSM880 Airyscan confocal system has now been upgraded with the PicoQuant FLIM module for Fluorescence Lifetime IMaging. This module provides an additional two lasers (picosecond pulsed 440nm and 485nm diodes) and utilizes the Zeiss BiG.2 GaAsP detector to allow time-correlated single photon counting (TCSPC). The FLIM module is run through Picoquant Symphotime software, which integrates seamlessly with the Zeiss Zen Black confocal software.

AJH

Find out more:

NEWS: Science, Technology, Engineering & Mathematics (STEM) Conference, 2015.

STEM conference 2015

The STEM conference 2015 which featured interactive exhibitions and demonstrations by the Bioimaging Unit. Left: Six form students get to grips with 3D imaging. Right: Demonstration of the virtual histology slide  box developed by the Bioimaging Unit.

The Bioimaging facility plays a significant role in public engagement and student recruitment activities within the School of Biosciences. This summer (June 19th, 2015) the Bioimaging Facility hosted large groups of students from St David’s Catholic sixth form college as part of the Universities Science, Technology, Engineering & Mathematics (STEM) annual conference. The event, organised by Dr Fiona Wyllie, was well-attended (with over 400 students) who engaged fully in the interactive exhibitions and demonstrations, which included confocal microscopy, macro-imaging and slide scanning microscopy. As part of the slide scanning demonstration, students were able to trial a virtual histology slide box – an online digital repository of over 400 high resolution histological images – that has been developed in-house by the Bioimaging Facility for School teaching purposes. 

AJH

Find out more:

 

 

IN-FOCUS: Imaging on a Budget? A Round-up of the Best Free Imaging Software on the Web.

Grant failed to make it past triage? Departmental account looking decidedly bare? Fear not dear reader, we have trawled the net to come up with a list of the best free imaging software out there…

The following links are to downloads of free software for image acquisition, processing and multi-dimensional analysis. Hardware requirements, application notes and user instructions are all available through the individual websites. Please note that some of the downloads will require site registration.

BioImageXD    Open source software for analysing, processing and visualising multi-dimensional microscopy images.

Cell Profiler    Versatile 2D processing platform for high throughput screening applications.

Confocal Assistant    Software for 3D processing and analysis of confocal images.

Drishti    Advanced software for 3D rendering of volumetric datasets.

FluoRender    Interactive 3D rendering tool for confocal microscopy designed specifically for neurobiologists.

Icy  open community platform for bioimage informatics. Broad selection of plugins and protocols.

ImageJ    Multi-format (Java-based) open source software package for data acquisition, analysis and processing. Extensive functionality conferred via a wide selection of downloadable plugins.

LAS-AF Lite    ‘Lite’ version of the Leica application suite which allows basic processing and analysis of  image data obtained from advanced Leica widefield and confocal systems.

LCS Lite    ‘Lite’ version of the Leica confocal software that allows basic processing and analysis of Leica SP2 confocal image files.

Micro-Manager    Open source software for control of automated microscopes which runs as a plugin to Image J.

Open Microscopy Environment (OMERO)    Client server software for visualisation, management and analysis of biological images.

DeconvolutionLab    Software for  deconvolution of 2D or 3D microscopic images which runs as a plugin to Image J.

V3D    Powerful open source software for visualisation and segmentation of large 3D datasets.

View5D    Software for analysis and processing of multi-dimensional volumetric datasets which runs as a plugin to Image J.

VisBio    Open source software for visualisation and analysis of multidimensional image data. Interfaces with Image J and OMERO.

Voxx    Voxel-based rendering software for 3D analysis of confocal and multi-photon datasets.

LSM image browser    Imaging software for Zeiss LSM 5 series confocals.

ZEN Lite    ‘Lite’ version of the Zeiss Efficient Navigation  (ZEN) software that allows basic processing and analysis of image data from advanced Zeiss light microscopical systems.

AJH

IN-FOCUS: De-boning the Zebrafish: unpicking skeletogenesis under the microscope.

Confocal reconstructions of the head, thorax and tail regions of the Zebrafish (Danio rerio)

Confocal reconstructions of the head, thorax and tail regions of the Zebrafish (Danio rerio)

The Zebrafish (Danio rerio) is, in many ways, the perfect model for microscopists. Not only does it share 70% genetic homology with man, but its larvae are born in large, transparent broods all year round and develop extremely quickly (a single cell develops into something resembling a fish within 24 hours!)  This means that developmental events can be visualised in vivo in real-time down the microscope. On top of this, their genome has been sequenced and it is easily amenable to molecular manipulation- again, these manipulations can be followed closely under the microscope lens.

Over the last few years we have been collaborating with Dr Chrissy Hammond at Bristol University, a fish biologist who shares an interest in skeletal development and disease. In our joint studies, we have used a variety of imaging techniques (brightfield, DIC, polarising, epifluorescence, confocal, TEM, radiography and microCT) to investigate skeletal development, growth and ageing in  this animal model.

One of the many interesting findings from our studies is that ageing fish undergo degenerative changes to their spine that resemble osteoarthritis (for example, spinal curvature, osteophyte formation, and connective tissue degeneration). This opens up the possibility  that they could be used to experimentally model aspects of the human disease. So it’s not just fishy tails!

AJH

Find out more:
Further Reading: