In vitro scratch wound healing assay, a simple and low-cost technique that works along with other image analysis tools, is one of the most widely used 2D methods to determine the cellular migration and proliferation in processes such as regeneration and disease. There are open-source programs such as imageJ to analyze images of in vitro scratch wound healing assays, but these tools require manual tuning of various parameters, which is time-consuming and limits image throughput. For that reason, we developed an optimized plugin for ima-geJ to automatically recognize the wound healing size, correct the average wound width by considering its inclination, and quantify other important parameters such as: area, wound area fraction, average wound width, and width deviation of the wound images obtained from a scratch/ wound healing assay. Our plugin is easy to install and can be used with different operating systems. It can be adapted to analyze both individual images and stacks. Additionally, it allows the analysis of images obtained from bright field, phase contrast, and fluorescence microscopes. In conclusion, this new imageJ plugin is a robust tool to automatically standardize and facilitate quantification of different in vitro wound parameters with high accuracy compared with other tools and manual identification.

In vitro scratch wound healing assay, a simple and low-cost technique that works along with other image analysis tools, is one of the most widely used 2D methods to determine the cellular migration and proliferation in processes such as regeneration and disease. There are open-source programs such as imageJ to analyze images of in vitro scratch wound healing assays, but these tools require manual tuning of various parameters, which is time-consuming and limits image throughput. For that reason, we developed an optimized plugin for imageJ to automatically recognize the wound healing size, correct the average wound width by considering its inclination, and quantify other important parameters such as: area, wound area fraction, average wound width, and width deviation of the wound images obtained from a scratch/ wound healing assay. Our plugin is easy to install and can be used with different operating systems. It can be adapted to analyze both individual images and stacks.Additionally, it allows the analysis of images obtained from bright field, phase contrast, and fluorescence microscopes. In conclusion, this new imageJ plugin is a robust tool to automatically standardize and facilitate quantification of different in vitro wound parameters with high accuracy compared with other tools and manual identification.

El Proceso de transición del colegio a la universidad es una situación que afrontan los estudiantes que entran al mundo de la educación superior, esto se ha convertido en un problema para muchos de ellos debido a los diversos factores psicoeducativos que involucra dicho proceso. El presente estudio busca desarrollar un modelo de articulación psicoeducativo para la transición del colegio a la universidad. Para tal fin, en una primera etapa se identificaron más de cuarenta (40) variables relacionadas con el desempeño escolar en el tránsito a la educación superior. Las variables encontradas se dividieron en tres grandes dominios; (1) exploración de funciones cognitivas, (2) estado de las competencias genéricas al inicio del proceso universitario e identificación de la vocación profesional, y finalmente (3) expectativas e intereses profesionales. En un segundo momento, para el dominio de exploración de las funciones cognitivas (1) se seleccionaron tres de estas variables que inciden de manera significativa en la adaptación a la educación superior, a saber, métodos y técnicas de estudio, memoria y atención, y comprensión lectora. Con la elección de estas tres, se identificaron instrumentos validados para medir estas variables cognitivas y se aplicaron a un grupo de estudiantes de décimo grado del Liceo de la Universidad Católica de Colombia. Con los resultados se sugiere seguir indagando en otras de las variables identificadas con el objetivo que el desarrollo del modelo de articulación logre mejorar elementos fundamentales de la adaptación a la escolaridad universitaria y por ende impacten en la disminución de la deserción en esta etapa, tales como: habilidades de aprendizaje, autonomía, toma de decisiones, técnicas de estudio y desempeño académico, entre otros.