TABLE 1.
Summary of enumeration methods discussed in the mini-review. For cost, an estimation is indicated, ranging from inexpensive ($) to highly expensive ().
| Method | Basis of detection/enumeration | Duration | Manual labor | Cost | Advantages | Limitations | Reference for methodology |
| Double agar overlay assay (DLA) | Virulent phage particles | 1–2 days | High | $ | Simple, effective, “gold standard,” shows active virulence | Slow, laborious, high standardization needed for precise reproducibility | Kropinski et al., 2018 |
| Transmission electron microscopy (TEM) | Magnification of virus particles | 2–3 days | High | Works well with unknown phages | Costly, laborious, high concentration needed | Ackermann, 2012 | |
| Flow cytometry | Viral particles | 4–12 h | Moderate | Can detect different phages in a sample | Expensive, low sensitivity, skilled operator needed | Brussaard et al., 2000 | |
| NanoSight | Nanoparticle detection by laser-illuminated optical microscopy | 5–10 min | Low | Rapid runtime | Can be used only on clear, concentrated samples | Anderson et al., 2011 | |
| qPCR/RT-qPCR | Viral nucleic acid | 2–6 h | Moderate | Precise, reproducible | Overestimation of virulent particles (one magnitude) | Anderson et al., 2011 | |
| Droplet digital PCR (ddPCR) | Viral nucleic acid | 2–6 h | Moderate | No need for internal standards | Could easily overestimate viral abundance | Morella et al., 2018 | |
| Mass spectrometry | Viral protein | 2–3 days | High | Accurate in determining PFU | Time-consuming, surface protein mutants can give false results | Wang et al., 2019 | |
| Illumina sequencing | Viral nucleic acid library | 3–4 days | Moderate | Not well suited for quantification | Significant amount of bioinformatics analysis needed | Klumpp et al., 2012 | |
| PacBio sequencing | Viral nucleic acid | 2–5 days | Moderate | Prone to sequencing errors | Long read lengths | Klumpp et al., 2012 | |
| NanoPore sequencing | Viral nucleic acid (can be amplified if needed) | 8–24 h | Moderate | Compact, rapid, multiple use | Expensive, high rate of sequencing read error | Ji et al., 2020 |