Dataset Information

A novel quantitative approach for eliminating sample-to-sample variation using a hue saturation value analysis program.

ABSTRACT:

Objectives

As computing technology and image analysis techniques have advanced, the practice of histology has grown from a purely qualitative method to one that is highly quantified. Current image analysis software is imprecise and prone to wide variation due to common artifacts and histological limitations. In order to minimize the impact of these artifacts, a more robust method for quantitative image analysis is required.

Methods and results

Here we present a novel image analysis software, based on the hue saturation value color space, to be applied to a wide variety of histological stains and tissue types. By using hue, saturation, and value variables instead of the more common red, green, and blue variables, our software offers some distinct advantages over other commercially available programs. We tested the program by analyzing several common histological stains, performed on tissue sections that ranged from 4 µm to 10 µm in thickness, using both a red green blue color space and a hue saturation value color space.

Conclusion

We demonstrated that our new software is a simple method for quantitative analysis of histological sections, which is highly robust to variations in section thickness, sectioning artifacts, and stain quality, eliminating sample-to-sample variation.

SUBMITTER: Yabusaki K

PROVIDER: S-EPMC3940696 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

A novel quantitative approach for eliminating sample-to-sample variation using a hue saturation value analysis program.

Yabusaki Katsumi K Faits Tyler T McMullen Eri E Figueiredo Jose Luiz JL Aikawa Masanori M Aikawa Elena E

PloS one 20140303 3

<h4>Objectives</h4>As computing technology and image analysis techniques have advanced, the practice of histology has grown from a purely qualitative method to one that is highly quantified. Current image analysis software is imprecise and prone to wide variation due to common artifacts and histological limitations. In order to minimize the impact of these artifacts, a more robust method for quantitative image analysis is required.<h4>Methods and results</h4>Here we present a novel image analysi ...[more]

PMID: 24595280

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Project description:BackgroundThe Accreditation Council for Graduate Medical Education requires each residency program to have a Program Evaluation Committee (PEC) but does not specify how the PEC should be designed. We sought to develop a PEC that promotes resident leadership and provides actionable feedback.MethodsParticipants were residents and faculty in the Traditional Internal Medicine residency program at Yale School of Medicine (YSM). One resident and one faculty member facilitated a 1-h structured group discussion to obtain resident feedback on each rotation. PEC co-facilitators summarized the feedback in written form, then met with faculty Firm Chiefs overseeing each rotation and with residency program leadership to discuss feedback and generate action plans. This PEC process was implemented in all inpatient and outpatient rotations over a 4-year period. Upon conclusion of the second and fourth years of the PEC initiative, surveys were sent to faculty Firm Chiefs to assess their perceptions regarding the utility of the PEC format in comparison to other, more traditional forms of programmatic feedback. PEC residents and faculty were also surveyed about their experiences as PEC participants.ResultsThe PEC process identified many common themes across inpatient and ambulatory rotations. Positives included a high caliber of teaching by faculty, highly diverse and educational patient care experiences, and a strong emphasis on interdisciplinary care. Areas for improvement included educational curricula on various rotations, interactions between medical and non-medical services, technological issues, and workflow problems. In survey assessments, PEC members viewed the PEC process as a rewarding mentorship experience that provided residents with an opportunity to engage in quality improvement and improve facilitation skills. Firm chiefs were more likely to review and make rotation changes in response to PEC feedback than to traditional written resident evaluations but preferred to receive both forms of feedback rather than either alone CONCLUSIONS: The PEC process at YSM has transformed our program's approach to feedback delivery by engaging residents in the feedback process and providing them with mentored quality improvement and leadership experiences while generating actionable feedback for program-wide change. This has led to PEC groups evaluating additional aspects of residency education.

Dataset Information

A novel quantitative approach for eliminating sample-to-sample variation using a hue saturation value analysis program.

Objectives

Methods and results

Conclusion

Publications

A novel quantitative approach for eliminating sample-to-sample variation using a hue saturation value analysis program.

Similar Datasets

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