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Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
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Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Updated: Feb 5, 2026

Procedure for the Development of Multi-depth Circular Cross-sectional Endothelialized Microchannels-on-a-chip
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Cross360: Estimación de profundidad monocular de 360° mediante proyecciones cruzadas a través de escalas

Kun Huang, Fang-Lue Zhang, Neil Dodgson

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    Cross360 logra una estimación precisa de profundidad de 360° integrando información local y global. Esta novedosa arquitectura de atención cruzada mejora la consistencia y supera a los métodos existentes en conjuntos de datos de referencia.

    Palabras clave:
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    Área de la Ciencia:

    • Visión por Computadora
    • Aprendizaje Automático
    • Reconstrucción 3D

    Sus antecedentes:

    • La estimación de profundidad de 360° es compleja debido a las distorsiones de las imágenes esféricas y los desafíos para mantener la continuidad global.
    • Los métodos existentes luchan por equilibrar la consistencia local y global, con una percepción global limitada en las características locales y discrepancias en los límites de los parches.

    Objetivo del estudio:

    • Proponer Cross360, una novedosa arquitectura para una estimación de profundidad de 360° precisa y globalmente consistente.
    • Integrar eficazmente información local y global utilizando parches de tangente con menor distorsión y características equirectangulares.

    Principales métodos:

    • Desarrolló una arquitectura basada en atención cruzada, Cross360, que integra parches de tangente locales y características equirectangulares.
    • Introdujo un módulo de alineación de características de proyección cruzada que utiliza atención cruzada para alinear características locales con el contexto global.
    • Implementó un módulo de agregación de características progresiva con atención para refinar características multiescala.

    Principales resultados:

    • Cross360 supera significativamente a los métodos existentes en la mayoría de los conjuntos de datos de referencia, particularmente aquellos con imágenes completas de 360°.
    • Demostró una precisión mejorada y consistencia global en la estimación de profundidad de 360°.
    • Logró un rendimiento de vanguardia en tareas desafiantes de estimación de profundidad de 360°.

    Conclusiones:

    • Cross360 ofrece una solución eficaz para una estimación de profundidad de 360° precisa y globalmente consistente.
    • La arquitectura propuesta aborda con éxito las limitaciones de los métodos anteriores en el manejo de datos de imágenes esféricas.
    • El método muestra un gran potencial para aplicaciones que requieren una comprensión precisa de escenas 3D a partir de imágenes panorámicas.