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Digital pathology
Digital pathology














Moreover, the probability values can trigger further examinations, for example in molecular pathology, that lead to personalized healthcare. Task lists based on "regions of interest" can be created, prioritized and distributed to several pathologists. Calibrated systems can perform these assessments and provide probability values as percentages, thus paving the way towards diagnosis. The different colours illustrate the potential of assessing digitalized slides.

digital pathology

These parameters can be mapped in digital pathology. The patterns the pathologist detects allow a diagnosis - or at least point in a diagnostic direction. In conventional diagnostics the pathologist uses a microscope - as well as his or her experience - to assess tissue morphology, cell size, cell distribution and colour. In order to be able to digitalize this core task the process of pathological assessment first has to be described analogically. And indeed industry has its work cut out to achieve stable and mature systems. When the future requirements of an LIS are defined from the vantage point of the core task of digital pathology - to make histological specimens available in a digital format - the issues industry has to tackle become clear.

  • molecular pathology and its information and diagnostic potential.
  • automatization of data input and transfer, e.g.
  • creation of communication pathways between pathologists and clinicians.
  • integration of different devices (tablet PCs, smartphones, VR headsets) to facilitate reading/reporting and communication with clinicians (e.g.
  • labelling and assignment of procedures and processes.
  • integration and processing of legacy data (reports).
  • unified formats, such as DICOM, and open hardware interfaces to integrate different devices.
  • secure platforms for the exchange of image and document.
  • With a view towards digital pathology current lab information systems need to address certain issues - issues that go beyond digital pathology but are relevant for the digitalisation of healthcare as such: The disadvantages of digital pathology are expensive equipment, instable technology, lack of standards and lab information systems that are not yet ready to support digitalization.

    #Digital pathology software

    Image analysis software allows precise selection of the structures to be evaluated and notes can be added right on the image and saved.Beyond these advantages research and teaching provide ample opportunity to use digital images.

    digital pathology

    Images with different stains can be superimposed to create better contrast of interesting structures. Furthermore, routine reading can be done from the home office so to speak.Ī further advantage is the possibility to view the entire slide which enhances orientation within the specimen. Without the need to mail slide and sample, second opinions can already be obtained during initial assessment of the specimen. The most obvious advantage of digital pathology is the fact that the location of the reader - the pathologist - is no longer linked to the location of the physical tissue sample. Nevertheless, its drawbacks need to be addressed. There is no doubt that over the next few years digital pathology will move from niche to mainstream - too convincing are its benefits. Thus the pathologist no longer "reads" the physical slide under a microscope but the digital images on a monitor. In digital pathology the microscope is replaced by a slide scanner linked to a reading station where the image data are assessed.

    digital pathology digital pathology

    stained, is examined under a microscope in order to detect pathological structures and changes which then can be treated in a targeted fashion along the clinical pathway. Any tissue sample taken in a surgical intervention is sent to the pathology lab: The tissue, placed on a slide and processed depending on the question at hand, e.g.














    Digital pathology