Audit actual micrographs before counting or identifying objects
Two actual public-domain images accompany this lesson: a DIC image of yeast attributed to Masur, with a later rotation credited to Andrew Pertsev, and a digital-microscope field attributed to Cucumberkvp and labeled Paramecium bursaria by its creator. Exact source pages, authorship, reuse declarations, original bytes and hashes are retained. Those source labels are provenance, not a blinded identification achieved by the learner.
Learning outcome: Inspect both actual images and retain two visible features, one unresolved claim and exact source identity. Then compare both counting rules on the separate original schematic, including and excluding the ambiguous feature. Explain why neither actual species nor viable count follows from that schematic.
Starting recap
Compare microbial structures and imaging evidence with calibrated geometry, explicit detection and object-definition limits, actual source provenance and no culture or diagnostic inference.
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Try
The original schematic has 5 unambiguous connected objects but 7 unambiguous bodies. Including the faint feature gives 6 or 8 depending on the declared counting rule. Neither answer establishes viability.
Open the experimentPredict
Can two defensible counting rules give different totals for the same attached objects?
Experiment
Inspect both actual images and retain two visible features, one unresolved claim and exact source identity. Then compare both counting rules on the separate original schematic, including and excluding the ambiguous feature. Explain why neither actual species nor viable count follows from that schematic.
Count visible objects without declaring viable cells
Worked teaching model · synthetic values · Original schematic field, not quantitative segmentation of the actual yeast image: three isolated oval bodies, two attached pairs (four bodies) and one ambiguous faint circular artifact. Connected-object rule counts5+b; body rule7+b. A still image does not establish viability, species or cell division rate.
Reset keeps your prediction, captures and practice history.
A reported count depends on the object definition and treatment of uncertain features.
The original diagram is separate from the actual micrographs. Attached bodies may be compatible with budding, but a single field cannot establish a division rate, species, viability or prevalence.
| Quantity | Value | Unit |
|---|---|---|
| Unambiguous connected objects | 5 | objects |
| Resolved unambiguous oval bodies | 7 | bodies |
| Chosen reported count | 5 | objects under selected rule |
| Ambiguous feature included | 0 | 0 no / 1 yes |
Original diagrams and supplied measurements are not actual microscopy data. The separately labeled public-domain images retain their own source and measurement limits. No biological material is handled.
A reported count depends on the object definition and treatment of uncertain features.
The original diagram is separate from the actual micrographs. Attached bodies may be compatible with budding, but a single field cannot establish a division rate, species, viability or prevalence.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
An analyst reports 8 after counting resolved bodies and including the faint circle. What would the connected-object rule excluding that feature report, and why is the difference not evidence of cell death?
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
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