18. The method of claim 17 , wherein each channel in the target image and each of the candidate images corresponds to a predetermined range of wavelengths detectable by one or more cameras, each having one or more associated optical filters, wherein each of the one or more cameras is configured to record the target image or at least one of the plurality of candidate images, and wherein one or more investigated regions of the target biological cell or the candidate biological cells emit light within the predetermined ranges of wavelengths.
17. The method of claim 1 , wherein obtaining the semantic embedding associated with the target image or one of the respective candidate images comprises: retrieving, by the computing device, each channel of a respective image; obtaining, by the computing device, a semantic embedding for each channel of the respective image, wherein the semantic embedding for each channel of the respective image is generated using the machine-learned, deep metric network model; and concatenating, by the computing device, the semantic embeddings for each channel of the respective image into a single semantic embedding.