Category Archives: techniques

IN FOCUS: Masson’s trichrome – but which one?

a 4x3 grid of microphotographs showing 12 different Masson's trichrome protocols

All of these protocols have been described in various sources as Masson’s trichrome.

Introduction

In an age of routine immunofluorescence, FISH, RNAScope and automated massively-multiplexed imaging there’s still a place in microscopy for traditional histological techniques. Almost every tissue sample that is processsed for an advanced technique will have an accompanying slide stained with haematoxylin and eosin (H&E) and several other methods remain useful – such as toluidine blue, periodic acid-Schiff, Perls’ prussian blue, alcian blue and Masson’s trichrome. Of these, Masson’s trichrome is probably the most widely used, particularly in research.

Masson’s trichrome consists of three components – a nuclear stain, a stain that’s specific to collagen (the fibre stain) and a third stain that provides overall tissue context (the plasma stain). It’s remarkably difficult to find a definitive reference online to the exact stains that Masson used for his original trichrome. The oldest textbook I have access to is Pathological Technique by Mallory (1938). This lists the stains used as aniline blue for the fibre stain and a mixture of acid fuchsin and ponceau de xylidine for the plasma stain. This latter stain is presumably what is now referred to as ponceau fuchsin. As Mallory was a contemporary of Masson it’s reasonable to assume that this represents the original method.

A collage showing the spine of Pathological Technique by Mallory along with photos of the stains used for Masson's trichrome

Recipes described by Mallory for the original version of Masson’s trichrome.

The protocol described by Mallory is close to what many people would use today. However, many alternative variants are in general use. A common variation uses light green instead of aniline blue as described in Theory and Practice of Histological Technique, Bancroft and Stevens (latterly Bancroft and Gamble). Other methods use biebrich scarlet acid fuchsin rather than ponceau fuchsin, methyl blue instead of aniline blue – and there are others.

Difficulty arises from the fact that very few papers report exactly what Masson’s trichrome they have used. They usually say they used a ‘standard protocol’ or they include a reference to a method in a previous paper that invariably doesn’t contain a protocol either. This makes it impossible to directly reproduce.

Snippets from two papers that give little detail of the precise method used

An example reference. The figure is from reference [25] but the paper contains few details about the protocol used other than the fact that it uses ‘Brilliant Green’ – a stain I hadn’t even heard of until starting this writeup.

Further complication arises from the fact that many histological techniques are poorly understood at a fundamental level. We know that they work but not how – instead a certain level of folklore exists where things are done how they’ve always been done with little real evaluation taking place.

This is not satisfactory so as part of some ongoing work I decided to look at methods from various sources and trial them on several tissue types. I came up with a rough average based on many different protocols. There were two common plasma stains and three common fibre stains. This gave six base protocols, details of which at the end of this post.

  1. Biebrich scarlet acid fuchsin (BSAF) and aniline blue (AB)
  2. BSAF and methyl blue (MB)
  3. BSAF and light green (LG)
  4. Ponceau fuchsin (PF) and AB
  5. PF and MB
  6. PF and LG

I decided to omit the usual haematoxylin counterstain and just focus on the components that are more specific to Masson’s trichrome – the plasma and fibre stains.

Bouin’s solution

The original Masson’s method used Bouin’s solution (called Bouin’s fluid by Mallory) – a fixative containing formaldehyde, picric acid and acetic acid. This is generally believed to enhance trichrome staining. This isn’t routinely used in modern labs but the same benefit can be gained by soaking slides in Bouin’s solution after dewaxing and rehydration.

To test the effect of Bouin’s solution I ran two sets of my six protocols – one set with a Bouin’s soak, one without. This gave me a total of twelve protocols to examine.

The tissues used were formalin-fixed mouse tissues. Normal kidney, fibrotic kidney, lung, pancreas and spleen. A set of twelve slides were produced from each tissue with one assigned to each protocol. It was immediately obvious there was a huge amount of variation between the protocols.

photograph of twelve microscope slides in cardboard trays each stained with a different protocol. There are obvious differences between them.

The differences between the protocols is immediately apparent.

To compare microscopically, roughly the same region from each slide was photographed at 4x and 20x magnification and plates assembled. These will all be available to download at the end of this post but here I’ll focus on notable points.

The first thing that stood out was the effect that Bouin’s solution had, even to the naked eye.

Photograph of two slides showing two staining techniques on mouse kidney. One is almost completely green while the other is brick red.

The difference made by Bouin’s solution to the tissue staining is obvious.

Microscopically you can see that the plasma stain (PF) is almost completely lost.

Plate showing the effect that Bouin's solution makes. The photo shows one picture almost completely green, another with a mix of green, red and purple.

WIthout Bouin’s the fibre stain (light green) stains practically the entire kidney section. Only red blood cells retain the plasma stain.

Bouin’s has a similar effect in some of the other tissues but not to quite as dramatic an extent. In lung, for example, the effect is relatively subtle.

Slide showing variation of staining protocols in lung tissue. There aren't any dramatic differences between them.

This slide summarises the effect of the different protocols on lung.

Broadly speaking, it appears that Bouin’s causes more plasma stain to be retained. This reduces the intensity of the fibre staining, presumably by blocking sites that the fibre stain would otherwise bind to. You can also see some differences between the different plasma stains and the different fibre stains. In summary, there’s not that much to note on lung tissue. You could probably use any of these protocols interchangeably.

While Bouin’s seems to give a more classic staining pattern, on spleen tissue it may be more beneficial to avoid using it.

Side-by-side comparison of two photomicrographs of spleen. In one there is a much clearer differentiation between the red pulp and the white pulp.

Illustration of the effect Bouin’s solution has on staining of spleen tissue.

Bouin’s has a similar effect to other tissues in that it causes more of the plasma stain to be retained. In this instance this makes the distinction between the red pulp and the white pulp far less apparent. The specific collagen staining is also less obvious as it’s partially masked by the plasma staining. By eye, the collagen staining stands out clearly against the background when Bouin’s isn’t used but image analysis software might have an easier job with the Bouin’s tissue.

Similarly, a lot of tissue differentiation is lost in pancreas tissue.

Two images showing islets of Langerhans in pancreas. One is clearly differentiated in blue.

Islets of Langerhans in pancreas.

When Bouin’s is omitted, the islets of Langerhans retain almost none of the plasma stain which causes them to show up very clearly with whatever fibre stain is used. It’s at a fairly low level so can still be differentiated from the collagen staining around the duct and blood vessel. Also of note is a subpopulation of cells which appear with pink nuclei. From the proportion of the cells it’s possible that these are delta cells but there’s no way to be sure from this image alone.

That just about covers the effects that Bouin’s solution has. Most sources will recommend Bouin’s for trichrome stains but I think it’s clear from the above that it depends what you’re aiming to achieve. It means that far more plasma stain is retained but this isn’t necessarily ideal for all purposes.

Fibre stains

Now we’ll look at the different fibre stains used – aniline blue, methyl blue and light green.

Three micrographs showing different fibre stains. Two show blue fibres and one shows blue-green.

Comparison of the three fibre stains with representative RGB values.

There’s very little difference between aniline blue and methyl blue across all tissue types. After running the protocols I discovered that aniline blue contains methyl blue anyway so they’re chemically very similar. The recipes used contain different concentrations of acetic acid, however, so there is still some value to the comparison. Personally I think that the light green is more visually striking than the blues. For computer segmentation though I think the blues would be superior. From the RGB values they are quite close to being pure blue while the ‘green’ is in fact almost perfectly blue-green. This would be more difficult to process for automatic segmenting.

Plasma stains

The plasma stains used were biebrich scarlet acid fuchsin (BSAF) and ponceau fuchsin (PF). On the whole they stained quite similarly. BSAF was a bit darker and muddier while PF was brighter and clearer. Some of these differences could potentially be altered by varying the protocols as there were some key variations – most notably the time in phosphomolybdic acid. In spleen and pancreas there was a meaningful difference in the staining pattern.

Two images showing the difference between BSAF and PF. BSAF staining is everywhere while PF is more specific leading to a large area of blue that can be seen

Biebrich scarlet acid fuchsin and ponceau fuchsin in spleen without Bouin’s.

Even without Bouin’s a large amount of BSAF is retained in the spleen compared to the PF. As this stain is very widely distributed it makes it much more difficult to define the area of red pulp vs white. In this instance ponceau fuchsin is preferable.

For pancreas tissue it’s more difficult to say that one plasma stain is better than the other.

Side by side images showing an islet of Langerhans in pancreas. One is stained with BSAF, the other PF.

Islet of Langerhans in pancreas, one stained with BSAF, the other PF.

PF is still brighter and clearer while BSAF is darker and muddier. Overall differentiation of the islet is far clearer with PF. As mentioned earlier the PF is showing a pink subpopulation of cells, possibly delta cells. Conversely, BSAF shows two subpopulations of cells which are far more numerous than the pink cells – some are red/pink while the others are dark purple. From the proportions its difficult to guess at what these cells might be but it’s certainly a notable difference.

Finally, there’s something intriguing going on with fibrotic kidney compared to normal.

Four images showing differences in plasma staining patterns between normal and fibrotic kidney. Red/purple staining is widespread in normal kidney but restricted to certain regions in fibrotic.

Fibrotic kidney vs normal kidney with two different fibre stains.

I’ve been running Masson’s trichrome staining to demonstrate fibrosis in a kidney model for research purposes. This is most visible in the lower left image above as areas of intense blue. The staining was often imperfect which is part of why I decided to investigate different protocols with the aim of finding an ideal one. Although it was chiefly the fibre stain that was of interest for these samples, performing these side-by-side comparisons is also showing something in the plasma stain.

In normal kidney the plasma stain is retained throughout and gives clear outlines of the architecture of the kidney. In diseased kidney it’s selectively retained only in certain structures. I’m not sure myself what these are but this could reflect some sort of biochemical change in the diseased kidney that gives some areas a much higher affinity for the plasma stain. Hard to say what this could be without further work to determine precisely what these structures are.

Next steps

The primary aim for these experiments was to discover the ideal Masson’s trichrome for kidney fibrosis. The best of these protocols still isn’t perfect. In particular there’s still a lot of background fibre staining that needs to be removed. The next step will be to take the best of these protocols and begin altering some of the other variables in the protocol. For example:

  • Staining times
  • Stain concentrations
  • Differentiation time in phosphomolybdic acid
  • Acetic acid treatment after fibre stain
  • Swap phosphomolybdic acid to phosphotungstic acid or use a mix

There’s a lot of variables to play with.

Finally there’s the re-introduction of a nuclear counterstain. Quite a few options exist for this too but that’s something to consider once the fibre and plasma stains are perfect.

Acknowledgements

Thanks to Irina Grigorieva for input into the protocols and Anne-Catherine Raby for input and supplying the kidney tissue used.

Accompanying data

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.

[Parameter-Settings] FileVersion = 2000 Date/Time = 0000:00:00 00:00:00 Date/Time + ms = 0000:00:00,00:00:00:000 User Name = TCS User Width = 1032 Length = 1032 Bits per Sample = 8 Used Bits per Sample = 8 Samples per Pixel = 3 ScanMode = xy Series Name = demo2.lei

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: