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Automated Image Analysis of Dictydium Sporothecae Biovolume Using RoboticsDownload
Related Products: BioStack , Cytation 5, Gen5 for Imaging
April 29, 2019
Dictydium cancellatum is a myxomycete (slime mold) of the order Liceales found mostly in wet, dark forest environments where it decays organic matter. A distinguishing feature of dictydium is the sporotheca, a bulbous container at the head of the organism that produces and contains the spore mass of the fruiting body, and as such plays an important reproductive role in the dictydium life cycle. Dictydium sporangia have been described as a cage, net, basket, or more commonly a Chinese lantern because of the unique shape created by thin strands of hyphae that make-up the peridial net. Biovolume measures cubic space of an object, and as such is one way to investigate changes to the sporotheca that could indicate a loss of reproductive viability of the organism, for example from stressors brought about by disruptions to ecological climate homeostasis. In this case study whole mount dictydium samples were used as a model to compare biovolume of the sporotheca for multiple specimens. This was accomplished by capturing digitalized microscopy images using a z-stacking method, whereby multiple images were taken at a constant focal height interval resulting in a depth value. A final z-projected image was then rendered from a range of in-focus z-stacks, and a primary mask was applied to the final region of interest to obtain length and width values. One way to study dictydium is by using a wet mount on standard microscopy slides, a format that can limit the efficiency of acquiring and analyzing large data sets. A robotic arm was therefore utilized to automate slide imaging at increased throughput, a solution that could enable larger population studies.
Materials and MethodsTen whole wet mount dictydium slides (Carolina Biological Supply Co. p/n 29-7328) were loaded coverslip down into five BioTek slide holders (p/n 1220548). Slide holders were loaded into a 10-plate supply tower of a BioTek BioStack™ 4 linked to a BioTek Cytation 5 Cell Imaging Multi-Mode Reader using an integration kit (BioTek p/n 7310053). Under the control of BioTek Gen5™ software, slides were robotically transferred from the BioStack to the Cytation 5 and images were captured in brightfield and color brightfield modes. For one batch, multiple images of each slide were captured using a 2 x 3 montage with a 4x objective (P/N 1220519). In the second batch average slide horizontal and vertical offset values were used to image each slide using a 10x objective (P/N 1320516). Z-stacking values of 14 slices taken 20 μm apart with 10 images requested below a fixed focal height of 600 μm resulted in a total focal range of 400-660 μm at 10x. A z-stack slide viewer and slide show feature were utilized to review all 14 image slices, and a z-projection on the optimal focal range was performed using a method of ‘minimum’ (Figure 3). The final depth of each sample was calculated as the total focal range (μm) of the final z-projection and was entered into Gen5 data reduction using a custom variable. A polyline plug shape was applied to isolate the sporotheca perimeter on each image (Figure 4). Using the10x brightfield image on a light background, a primary mask with a detection threshold of 22980 and a selection to fill holes in the mask and include primary edge objects was applied to an object size selection of 100-1000 μm (Figure 4). Gen5 calculates object length and width measurements using an ellipse overlay correction, and therefore an ellipse equation was defined in Gen5 data reduction to solve for biovolume (Figure 4).
Figure 3. (Left) Three of fourteen z-stack images captured from a dictydium sample. Min and max focal points for the object of interest can be determined using a slide show feature. The final z-projection for this specimen was rendered on stacks 2-13 (right). Focus slice #11 (circled) was fixed at 600 μm for all samples. The z-projection shown resulted in a total sporotheca depth of 220 μm obtained by multiplying the number of slices in the projection (11) by the focal interval between each slice (20 μm).
Figure 4. (A.) A polyline plug is used to isolate the dictydium sporotheca on the z-projected image. A primary mask (pink) was defined on the object perimeter to obtain length and width parameters used in the Gen5™ data reduction steps that generate the biovolume calculation (B., C.). A montage of representative samples displaying the applied primary mask criteria in full pixel view is shown (D.).
Figure 5. (A.) For the sample shown by Figure 2, length and width values measured manually by an independent party using a micron caliber are compared to those for the same sample obtained from automated image analysis. Length and width values each differed by less than 1% of the mean. (B.) Automated z-stack imaging has the advantage of also generating a depth value, facilitating the ability to quantitate biovolume of an object, as shown for the seven randomly selected dictydium samples in Figure 4D. Biovolume units (μm3) were converted to cm3 by applying a factor of 10-12. Although visually distinct, dictydium exhibit homogenous sporotheca biovolume.
Z-stacking, z-projection, masking, and data reduction tools available within Gen5™ Multi-Mode Reader and Imager Software can be used to obtain physical dimensions of 3-D samples that can be applied to calculate and quantitate biovolume, as demonstrated using a dictydium model organism. Biovolume, or derivatives thereof, could also be applied to investigate and quantitate a range of other 3-D samples, for example, cancer cell spheroid models, small mammal and insect organs, tissue sections, or micro environmental growth monitoring such as biofilm formation. Applied robotics facilitated higher throughput microscopy slide imaging, but is also compatible with many vessel types, enabling larger data sets to be acquired without manual intervention. The BioStack™ 4 robotic arm is available with three tower sizes, accommodating from ten to fifty vessels in a single batch. When imaging slides at higher throughput, it is recommended to integrate both montage and z-stack imaging steps to cover an imaging area large enough to compensate for variations in mounting location between slides.