A training method for training a predictive model, PM, for highlighting cellular objects, c-objects, in a test Brightfield, BF, image of a test sample that is a cell culture of one or more c-objects acquired using a test microscope having at least a BF acquisition mode, the training method comprising: - receiving a plurality of training data sets, wherein: - each training data set has been captured from a training sample that is a cell culture comprising one or more c-objects having been labelled with one or more fluorescent labels (L, M); - each training data set comprises a training BF image (112, 112') of the training sample and training c-object data of the training sample, - the training c-object data is generated automatically from one or more training fluorescent images (114, 114'); - both the training BF image (112, 112') and one or more training fluorescent images (114, 114') have been captured in an image acquisition event of a training microscope having a BF imaging mode and a fluorescent imaging mode; - training the PM, wherein: - an input to the PM is the training BF image of the data training set, and an output of the PM is a processed training BF image data; - the processed training BF image data is compared with the training c-object data of the training data set, and - the PM is adjusted so that the outputted processed training BF image data approaches the training c-object data of the training set. - receiving a plurality of training data sets, wherein: - each training data set has been captured from a training sample that is a cell culture comprising one or more c-objects having been labelled with one or more fluorescent labels (L, M); - each training data set comprises a training BF image (112, 112') of the training sample and training c-object data of the training sample, - the training c-object data is generated automatically from one or more training fluorescent images (114, 114'); - both the training BF image (112, 112') and one or more training fluorescent images (114, 114') have been captured in an image acquisition event of a training microscope having a BF imaging mode and a fluorescent imaging mode; - each training data set has been captured from a training sample that is a cell culture comprising one or more c-objects having been labelled with one or more fluorescent labels (L, M); - each training data set comprises a training BF image (112, 112') of the training sample and training c-object data of the training sample, - the training c-object data is generated automatically from one or more training fluorescent images (114, 114'); - both the training BF image (112, 112') and one or more training fluorescent images (114, 114') have been captured in an image acquisition event of a training microscope having a BF imaging mode and a fluorescent imaging mode; - training the PM, wherein: - an input to the PM is the training BF image of the data training set, and an output of the PM is a processed training BF image data; - the processed training BF image data is compared with the training c-object data of the training data set, and - the PM is adjusted so that the outputted processed training BF image data approaches the training c-object data of the training set. - an input to the PM is the training BF image of the data training set, and an output of the PM is a processed training BF image data; - the processed training BF image data is compared with the training c-object data of the training data set, and - the PM is adjusted so that the outputted processed training BF image data approaches the training c-object data of the training set.