Abstract: The present disclosure provides methods for automated slide assessments made in conjunction with digital image-based microscopy. Automated methods of acquiring patient information and specimen information from prepared slides, and digitally linking such information into patient-tagged specimen data, are provided. Also provided are methods that include automatically identifying an optimal area for morphological assessment of a blood smear on a hematological slide, including methods for triggering the analysis of such an area, e.g., using an automated digital image-based hematology system. The present disclosure also provides devices, systems and computer readable media for use in performing processes of the herein described methods.

Abstract: The present disclosure includes methods of assessing a histologically stained specimen based on a determined color signature of a region of interest of the specimen. Such assessments may be performed for a variety of purposes including but not limited to assessing the quality of the histological stain, as part of identifying one or more biologically relevant features of the image, as part of differentiating one feature of the image from other features of the image, identifying an anomalous area of the stained specimen, classifying cells of the specimen, etc. Also provided are systems configured for performing the disclosed methods and computer readable medium storing instructions for performing steps of the disclosed methods.

Abstract: The instant disclosure provides methods of extracting stain-independent features from digital images of histologically stained cells. Stain-independent features provide consistent assessment of cell morphology in the presence of staining variation and across different stains or stain formulations. Improved consistency in cell morphology assessments finds use in automated cell classification and other image processing applications. Also included are systems for practicing the described methods. The instant disclosure also provides computer readable media storing instructions that, when executed by a computing device, cause the computing device and/or components of a described system to perform steps of a method involving of extraction of stain-independent features from digital images.

Abstract: The instant disclosure provides spectrophotometric methods for assessing histological stains used in a histology analyzer. The methods find use in various assessments including determinations of the identity of a histological stain, determinations of the quality of a histological stain, etc. Also included are devices and systems for practicing the described methods. The instant disclosure also provides computer readable media containing libraries of reference spectrophotometric characteristics of histological stains useful in assessing a histological stain used in a histology analyzer. Also provided is computer readable media containing instructions that cause a computing device to perform steps for making an assessment of a histological stain.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The instant disclosure provides methods of extracting stain-independent features from digital images of histologically stained cells. Stain-independent features provide consistent assessment of cell morphology in the presence of staining variation and across different stains or stain formulations. Improved consistency in cell morphology assessments finds use in automated cell classification and other image processing applications. Also included are systems for practicing the described methods. The instant disclosure also provides computer readable media storing instructions that, when executed by a computing device, cause the computing device and/or components of a described system to perform steps of a method involving of extraction of stain-independent features from digital images.

Abstract: The instant disclosure provides spectrophotometric methods for assessing histological stains used in a histology analyzer. The methods find use in various assessments including determinations of the identity of a histological stain, determinations of the quality of a histological stain, etc. Also included are devices and systems for practicing the described methods. The instant disclosure also provides computer readable media containing libraries of reference spectrophotometric characteristics of histological stains useful in assessing a histological stain used in a histology analyzer. Also provided is computer readable media containing instructions that cause a computing device to perform steps for making an assessment of a histological stain.

Abstract: The present disclosure includes methods of assessing a histologically stained specimen based on a determined color signature of a region of interest of the specimen. Such assessments may be performed for a variety of purposes including but not limited to assessing the quality of the histological stain, as part of identifying one or more biologically relevant features of the image, as part of differentiating one feature of the image from other features of the image, identifying an anomalous area of the stained specimen, classifying cells of the specimen, etc. Also provided are systems configured for performing the disclosed methods and computer readable medium storing instructions for performing steps of the disclosed methods.

Abstract: The instant disclosure provides methods of extracting stain-independent features from digital images of histologically stained cells. Stain-independent features provide consistent assessment of cell morphology in the presence of staining variation and across different stains or stain formulations. Improved consistency in cell morphology assessments finds use in automated cell classification and other image processing applications. Also included are systems for practicing the described methods. The instant disclosure also provides computer readable media storing instructions that, when executed by a computing device, cause the computing device and/or components of a described system to perform steps of a method involving of extraction of stain-independent features from digital images.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The present disclosure provides methods for automated slide assessments made in conjunction with digital image-based microscopy. Automated methods of acquiring patient information and specimen information from prepared slides, and digitally linking such information into patient-tagged specimen data, are provided. Also provided are methods that include automatically identifying an optimal area for morphological assessment of a blood smear on a hematological slide, including methods for triggering the analysis of such an area, e.g., using an automated digital image-based hematology system. The present disclosure also provides devices, systems and computer readable media for use in performing processes of the herein described methods.

Abstract: The present disclosure includes methods of assessing a histologically stained specimen based on a determined color signature of a region of interest of the specimen. Such assessments may be performed for a variety of purposes including but not limited to assessing the quality of the histological stain, as part of identifying one or more biologically relevant features of the image, as part of differentiating one feature of the image from other features of the image, identifying an anomalous area of the stained specimen, classifying cells of the specimen, etc. Also provided are systems configured for performing the disclosed methods and computer readable medium storing instructions for performing steps of the disclosed methods.

Abstract: The present disclosure provides methods for automated slide assessments made in conjunction with digital image-based microscopy. Automated methods of acquiring patient information and specimen information from prepared slides, and digitally linking such information into patient-tagged specimen data, are provided. Also provided are methods that include automatically identifying an optimal area for morphological assessment of a blood smear on a hematological slide, including methods for triggering the analysis of such an area, e.g., using an automated digital image-based hematology system. The present disclosure also provides devices, systems and computer readable media for use in performing processes of the herein described methods.

Abstract: The instant disclosure provides spectrophotometric methods for assessing histological stains used in a histology analyzer. The methods find use in various assessments including determinations of the identity of a histological stain, determinations of the quality of a histological stain, etc. Also included are devices and systems for practicing the described methods. The instant disclosure also provides computer readable media containing libraries of reference spectrophotometric characteristics of histological stains useful in assessing a histological stain used in a histology analyzer. Also provided is computer readable media containing instructions that cause a computing device to perform steps for making an assessment of a histological stain.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The present disclosure provides methods for automated slide assessments made in conjunction with digital image-based microscopy. Automated methods of acquiring patient information and specimen information from prepared slides, and digitally linking such information into patient-tagged specimen data, are provided. Also provided are methods that include automatically identifying an optimal area for morphological assessment of a blood smear on a hematological slide, including methods for triggering the analysis of such an area, e.g., using an automated digital image-based hematology system. The present disclosure also provides devices, systems and computer readable media for use in performing processes of the herein described methods.

Abstract: The present disclosure provides methods for carrying out Romanowsky-type stains, specifically Wright-Giemsa and May-Grünwald stains, quickly and efficiently. The methods greatly reduce the overall amount of time required to complete a Wright-Giemsa stain or a May-Grünwald stain of sufficient quality on a biological sample. The subject methods can be applied to both manual and automated staining procedures.

Abstract: The instant disclosure provides methods of extracting stain-independent features from digital images of histologically stained cells. Stain-independent features provide consistent assessment of cell morphology in the presence of staining variation and across different stains or stain formulations. Improved consistency in cell morphology assessments finds use in automated cell classification and other image processing applications. Also included are systems for practicing the described methods. The instant disclosure also provides computer readable media storing instructions that, when executed by a computing device, cause the computing device and/or components of a described system to perform steps of a method involving of extraction of stain-independent features from digital images.